{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from config import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020年2月\n"
     ]
    }
   ],
   "source": [
    "print(f'{year}年{month}月')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "sys.path.append('../../py')\n",
    "import db\n",
    "import weighted\n",
    "import inspect\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as stats\n",
    "import numpy as np\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_original=pd.read_sql(sql=f\"select * from _{year}{month:02} where monthly_salary>0 and monthly_salary<80000\", con=db.get_conn())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(71577, 94)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_original.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data_original"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "del data['publish_date']\n",
    "del data['published_on_weekend']\n",
    "del data['title']\n",
    "del data['company_title']\n",
    "del data['company_description']\n",
    "del data['job_description']\n",
    "del data['job_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_sub_stats_by_prefix(data, prefix):\n",
    "    \n",
    "    features = [feature for feature in data.columns if feature.startswith(prefix)]\n",
    "    salary_mean=[]\n",
    "    salary_median=[]\n",
    "    salary_95_min=[]\n",
    "    salary_95_max=[]\n",
    "    count=[]\n",
    "    \n",
    "    features_out=[]\n",
    "    for feature in features:\n",
    "        #print(feature)\n",
    "        idata=data[data[feature]==1]\n",
    "        headcount=idata.headcount.sum()\n",
    "        values = idata.monthly_salary.values\n",
    "        weights = idata.headcount.values\n",
    "        #print(str(headcount))\n",
    "        if headcount==0:\n",
    "            continue\n",
    "        \n",
    "        salary_mean.append(weighted.weighted_mean(values, weights))\n",
    "        q = weighted.weighted_quantile(values,[0.025,0.5,0.975],weights)\n",
    "        salary_median.append(q[1])\n",
    "        salary_95_min.append(q[0])\n",
    "        salary_95_max.append(q[2])\n",
    "        count.append(idata.headcount.sum())\n",
    "        features_out.append(feature)\n",
    "    sub_data=pd.DataFrame()\n",
    "    sub_data['rank']=range(0,len(features_out))\n",
    "    sub_data[prefix]=[f.replace(prefix,'') for f in features_out]\n",
    "    sub_data['salary_mean']=salary_mean\n",
    "    sub_data['salary_median']=salary_median\n",
    "    sub_data['salary_95_min']=salary_95_min\n",
    "    sub_data['salary_95_max']=salary_95_max\n",
    "    sub_data['head_count']=count\n",
    "    sub_data['percentage']=count/np.sum(count)\n",
    "    sub_data=sub_data.sort_values(by='salary_mean', ascending=False)\n",
    "    sub_data['rank']=range(1,len(features_out)+1)\n",
    "    #sub_data=sub_data.reset_index()\n",
    "    return sub_data\n",
    "\n",
    "def apply_style(sub_data):\n",
    "    return sub_data.style.hide_index().format(\n",
    "        {\"percentage\":\"{:.2%}\",\"salary_mean\":\"{:.0f}\",\"salary_median\":\"{:.0f}\",\"salary_95_min\":\"{:.0f}\",\"salary_95_max\":\"{:.0f}\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pl=get_sub_stats_by_prefix(data,'pl_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_08fcb508_4684_11ea_aa89_701ce71031ef\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >rank</th>        <th class=\"col_heading level0 col1\" >pl_</th>        <th class=\"col_heading level0 col2\" >salary_mean</th>        <th class=\"col_heading level0 col3\" >salary_median</th>        <th class=\"col_heading level0 col4\" >salary_95_min</th>        <th class=\"col_heading level0 col5\" >salary_95_max</th>        <th class=\"col_heading level0 col6\" >head_count</th>        <th class=\"col_heading level0 col7\" >percentage</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col0\" class=\"data row0 col0\" >1</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col1\" class=\"data row0 col1\" >rust</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col2\" class=\"data row0 col2\" >21433</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col3\" class=\"data row0 col3\" >20000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col4\" class=\"data row0 col4\" >5266</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col5\" class=\"data row0 col5\" >45000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col6\" class=\"data row0 col6\" >369</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow0_col7\" class=\"data row0 col7\" >0.11%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col0\" class=\"data row1 col0\" >2</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col1\" class=\"data row1 col1\" >typescript</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col2\" class=\"data row1 col2\" >18727</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col3\" class=\"data row1 col3\" >22500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col4\" class=\"data row1 col4\" >6500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col5\" class=\"data row1 col5\" >30000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col6\" class=\"data row1 col6\" >1841</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow1_col7\" class=\"data row1 col7\" >0.57%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col0\" class=\"data row2 col0\" >3</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col1\" class=\"data row2 col1\" >go</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col2\" class=\"data row2 col2\" >18292</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col3\" class=\"data row2 col3\" >16000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col4\" class=\"data row2 col4\" >6175</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col5\" class=\"data row2 col5\" >40000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col6\" class=\"data row2 col6\" >23860</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow2_col7\" class=\"data row2 col7\" >7.35%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col0\" class=\"data row3 col0\" >4</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col1\" class=\"data row3 col1\" >lua</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col2\" class=\"data row3 col2\" >18219</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col3\" class=\"data row3 col3\" >17500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col4\" class=\"data row3 col4\" >5000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col5\" class=\"data row3 col5\" >37500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col6\" class=\"data row3 col6\" >2676</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow3_col7\" class=\"data row3 col7\" >0.82%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col0\" class=\"data row4 col0\" >5</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col1\" class=\"data row4 col1\" >python</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col2\" class=\"data row4 col2\" >17834</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col3\" class=\"data row4 col3\" >15000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col4\" class=\"data row4 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col5\" class=\"data row4 col5\" >45000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col6\" class=\"data row4 col6\" >26507</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow4_col7\" class=\"data row4 col7\" >8.17%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col1\" class=\"data row5 col1\" >haskell</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col2\" class=\"data row5 col2\" >17713</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col3\" class=\"data row5 col3\" >15714</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col4\" class=\"data row5 col4\" >7500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col5\" class=\"data row5 col5\" >27000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col6\" class=\"data row5 col6\" >47</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow5_col7\" class=\"data row5 col7\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col0\" class=\"data row6 col0\" >7</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col1\" class=\"data row6 col1\" >ruby</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col2\" class=\"data row6 col2\" >17420</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col3\" class=\"data row6 col3\" >17500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col4\" class=\"data row6 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col5\" class=\"data row6 col5\" >37500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col6\" class=\"data row6 col6\" >913</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow6_col7\" class=\"data row6 col7\" >0.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col0\" class=\"data row7 col0\" >8</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col1\" class=\"data row7 col1\" >matlab</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col2\" class=\"data row7 col2\" >17384</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col3\" class=\"data row7 col3\" >16000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col4\" class=\"data row7 col4\" >5000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col5\" class=\"data row7 col5\" >37500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col6\" class=\"data row7 col6\" >5030</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow7_col7\" class=\"data row7 col7\" >1.55%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col0\" class=\"data row8 col0\" >9</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col1\" class=\"data row8 col1\" >julia</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col2\" class=\"data row8 col2\" >16525</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col3\" class=\"data row8 col3\" >12500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col4\" class=\"data row8 col4\" >12500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col5\" class=\"data row8 col5\" >25000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col6\" class=\"data row8 col6\" >20</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow8_col7\" class=\"data row8 col7\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col0\" class=\"data row9 col0\" >10</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col1\" class=\"data row9 col1\" >perl</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col2\" class=\"data row9 col2\" >16326</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col3\" class=\"data row9 col3\" >14583</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col4\" class=\"data row9 col4\" >4950</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col5\" class=\"data row9 col5\" >37500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col6\" class=\"data row9 col6\" >2102</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow9_col7\" class=\"data row9 col7\" >0.65%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col0\" class=\"data row10 col0\" >11</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col1\" class=\"data row10 col1\" >kotlin</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col2\" class=\"data row10 col2\" >16318</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col3\" class=\"data row10 col3\" >15000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col4\" class=\"data row10 col4\" >6500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col5\" class=\"data row10 col5\" >34521</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col6\" class=\"data row10 col6\" >803</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow10_col7\" class=\"data row10 col7\" >0.25%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col0\" class=\"data row11 col0\" >12</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col1\" class=\"data row11 col1\" >cpp</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col2\" class=\"data row11 col2\" >15763</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col3\" class=\"data row11 col3\" >13500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col4\" class=\"data row11 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col5\" class=\"data row11 col5\" >37500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col6\" class=\"data row11 col6\" >55817</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow11_col7\" class=\"data row11 col7\" >17.20%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col0\" class=\"data row12 col0\" >13</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col1\" class=\"data row12 col1\" >swift</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col2\" class=\"data row12 col2\" >15657</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col3\" class=\"data row12 col3\" >13500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col4\" class=\"data row12 col4\" >5250</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col5\" class=\"data row12 col5\" >36225</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col6\" class=\"data row12 col6\" >2236</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow12_col7\" class=\"data row12 col7\" >0.69%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col0\" class=\"data row13 col0\" >14</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col1\" class=\"data row13 col1\" >objective_c</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col2\" class=\"data row13 col2\" >14304</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col3\" class=\"data row13 col3\" >13000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col4\" class=\"data row13 col4\" >4886</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col5\" class=\"data row13 col5\" >28000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col6\" class=\"data row13 col6\" >208</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow13_col7\" class=\"data row13 col7\" >0.06%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col1\" class=\"data row14 col1\" >php</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col2\" class=\"data row14 col2\" >13855</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col3\" class=\"data row14 col3\" >12000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col4\" class=\"data row14 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col5\" class=\"data row14 col5\" >37500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col6\" class=\"data row14 col6\" >13168</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow14_col7\" class=\"data row14 col7\" >4.06%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col0\" class=\"data row15 col0\" >16</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col1\" class=\"data row15 col1\" >java</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col2\" class=\"data row15 col2\" >13453</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col3\" class=\"data row15 col3\" >12500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col4\" class=\"data row15 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col5\" class=\"data row15 col5\" >31500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col6\" class=\"data row15 col6\" >106269</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow15_col7\" class=\"data row15 col7\" >32.74%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col0\" class=\"data row16 col0\" >17</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col1\" class=\"data row16 col1\" >javascript</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col2\" class=\"data row16 col2\" >11978</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col3\" class=\"data row16 col3\" >11500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col4\" class=\"data row16 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col5\" class=\"data row16 col5\" >25000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col6\" class=\"data row16 col6\" >39387</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow16_col7\" class=\"data row16 col7\" >12.13%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col0\" class=\"data row17 col0\" >18</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col1\" class=\"data row17 col1\" >c_sharp</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col2\" class=\"data row17 col2\" >11549</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col3\" class=\"data row17 col3\" >10500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col4\" class=\"data row17 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col5\" class=\"data row17 col5\" >26632</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col6\" class=\"data row17 col6\" >41581</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow17_col7\" class=\"data row17 col7\" >12.81%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col0\" class=\"data row18 col0\" >19</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col1\" class=\"data row18 col1\" >visual_basic</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col2\" class=\"data row18 col2\" >11061</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col3\" class=\"data row18 col3\" >10416</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col4\" class=\"data row18 col4\" >5250</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col5\" class=\"data row18 col5\" >20375</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col6\" class=\"data row18 col6\" >37</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow18_col7\" class=\"data row18 col7\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col0\" class=\"data row19 col0\" >20</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col1\" class=\"data row19 col1\" >delphi</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col2\" class=\"data row19 col2\" >10462</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col3\" class=\"data row19 col3\" >9000</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col4\" class=\"data row19 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col5\" class=\"data row19 col5\" >20833</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col6\" class=\"data row19 col6\" >1124</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow19_col7\" class=\"data row19 col7\" >0.35%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col0\" class=\"data row20 col0\" >21</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col1\" class=\"data row20 col1\" >vba</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col2\" class=\"data row20 col2\" >9790</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col3\" class=\"data row20 col3\" >7750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col4\" class=\"data row20 col4\" >3750</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col5\" class=\"data row20 col5\" >22500</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col6\" class=\"data row20 col6\" >596</td>\n",
       "                        <td id=\"T_08fcb508_4684_11ea_aa89_701ce71031efrow20_col7\" class=\"data row20 col7\" >0.18%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1b73c800a08>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apply_style(data_pl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21, 8)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pl.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pl=data_pl[['pl_','percentage']].sort_values(by='percentage', ascending=False)\n",
    "data_pl.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_0900fada_4684_11ea_b704_701ce71031ef\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >rank</th>        <th class=\"col_heading level0 col1\" >pl_</th>        <th class=\"col_heading level0 col2\" >percentage</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow0_col0\" class=\"data row0 col0\" >1</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow0_col1\" class=\"data row0 col1\" >java</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow0_col2\" class=\"data row0 col2\" >32.74%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow1_col0\" class=\"data row1 col0\" >2</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow1_col1\" class=\"data row1 col1\" >cpp</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow1_col2\" class=\"data row1 col2\" >17.20%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow2_col0\" class=\"data row2 col0\" >3</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow2_col1\" class=\"data row2 col1\" >c_sharp</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow2_col2\" class=\"data row2 col2\" >12.81%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow3_col0\" class=\"data row3 col0\" >4</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow3_col1\" class=\"data row3 col1\" >javascript</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow3_col2\" class=\"data row3 col2\" >12.13%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow4_col0\" class=\"data row4 col0\" >5</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow4_col1\" class=\"data row4 col1\" >python</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow4_col2\" class=\"data row4 col2\" >8.17%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow5_col1\" class=\"data row5 col1\" >go</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow5_col2\" class=\"data row5 col2\" >7.35%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow6_col0\" class=\"data row6 col0\" >7</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow6_col1\" class=\"data row6 col1\" >php</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow6_col2\" class=\"data row6 col2\" >4.06%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow7_col0\" class=\"data row7 col0\" >8</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow7_col1\" class=\"data row7 col1\" >matlab</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow7_col2\" class=\"data row7 col2\" >1.55%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow8_col0\" class=\"data row8 col0\" >9</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow8_col1\" class=\"data row8 col1\" >lua</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow8_col2\" class=\"data row8 col2\" >0.82%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow9_col0\" class=\"data row9 col0\" >10</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow9_col1\" class=\"data row9 col1\" >swift</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow9_col2\" class=\"data row9 col2\" >0.69%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow10_col0\" class=\"data row10 col0\" >11</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow10_col1\" class=\"data row10 col1\" >perl</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow10_col2\" class=\"data row10 col2\" >0.65%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow11_col0\" class=\"data row11 col0\" >12</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow11_col1\" class=\"data row11 col1\" >typescript</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow11_col2\" class=\"data row11 col2\" >0.57%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow12_col0\" class=\"data row12 col0\" >13</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow12_col1\" class=\"data row12 col1\" >delphi</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow12_col2\" class=\"data row12 col2\" >0.35%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow13_col0\" class=\"data row13 col0\" >14</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow13_col1\" class=\"data row13 col1\" >ruby</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow13_col2\" class=\"data row13 col2\" >0.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow14_col1\" class=\"data row14 col1\" >kotlin</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow14_col2\" class=\"data row14 col2\" >0.25%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow15_col0\" class=\"data row15 col0\" >16</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow15_col1\" class=\"data row15 col1\" >vba</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow15_col2\" class=\"data row15 col2\" >0.18%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow16_col0\" class=\"data row16 col0\" >17</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow16_col1\" class=\"data row16 col1\" >rust</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow16_col2\" class=\"data row16 col2\" >0.11%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow17_col0\" class=\"data row17 col0\" >18</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow17_col1\" class=\"data row17 col1\" >objective_c</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow17_col2\" class=\"data row17 col2\" >0.06%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow18_col0\" class=\"data row18 col0\" >19</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow18_col1\" class=\"data row18 col1\" >haskell</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow18_col2\" class=\"data row18 col2\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow19_col0\" class=\"data row19 col0\" >20</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow19_col1\" class=\"data row19 col1\" >visual_basic</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow19_col2\" class=\"data row19 col2\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow20_col0\" class=\"data row20 col0\" >21</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow20_col1\" class=\"data row20 col1\" >julia</td>\n",
       "                        <td id=\"T_0900fada_4684_11ea_b704_701ce71031efrow20_col2\" class=\"data row20 col2\" >0.01%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1b740d64f48>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "data_pl['rank']=list(range(1,22))\n",
    "data_pl=data_pl[['rank','pl_','percentage']]\n",
    "#data_pl.style.format({\"percentage\":\"{:.2%}\"})\n",
    "data_pl.style.hide_index().format({\"percentage\":\"{:.2%}\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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G97cTZokcwql9GcJALBWdf3fU3o/uL4jOnUeYxQoIp+yVR7ddwkxYQ9T+4znP5Q+MTOubH/2ZJSxEIdG1Q5m3OwkDt5iIDBCuI9tz+MtljDHGTC1WgMIYY0pIRL5FuF/Sz4C3ExaFeBg4nTDT9DBh9bt2wgzRA4TrnYYKSXQRBjpVhNmjXVG7GGHwsie6XUM45Q/CaXx/jPp6KyNZpi2Ea5/uB9YTBj0e0EEYPA1lmLoJ12AFUT9ro8eoIFy/VU8YIN0NvJmR9VtpwgDxKeDVqtohIr2qWiUi8wkDs2XRWG48Hhv9GmOMMZPJgiljjJkiRKQXeBr4G8LA6vWE2Z7XAr8gzEJlgecArwLuidq/QVUfFJH/BX5KOG3vXsJAp4GwUl4f8E/AHcCTRGuWVPWrInIr8D5V/XM0jmsIs0mLCIO04XPjjL+RcP3T51X182OOrVHV4GhfG2OMMWYq8sZvYowx5ngTkecRZnY+Txj4xAnXGN0FXEKYpfoccBPh1LvNwDzCrNRDebpU4Cuq+l0RORP4d+BTwI9U9dWjGqo+a8z9a0TkWUDejX0LUdW9hFX6hp7T64GPAe+xQMoYY8xMZGumjDHmCInIaSJyac79q0TkC+Ncc42IFAxOVPXXQL+q/gfh9L1awszS3xIGTD8mzDbVA+9X1VMIp+nt1/GnGNwf9TmPcM3UuFT1VlW9jDBQ+y8RuTfn540T7OPrqrpIVW8aOiYi/zymr3tF5J8n0p8xxhgz1VhmyhhjjtxphMUfbh6v4VHaSRj4rCYsD34vsCM6tx/4vohUEWavhqvmqepVOX3U5RxPA889moGo6juO5roi/X2MMFtljDHGTHuWmTLGnJREJCEij4rIf4nIgyLyTRF5nojcISJbROSc6OdOEbkn+nO1iMQIy5JfGWVVrhzT7+Ui8ofoml9HhRWGnCoim6P+31JobKq6C7iRMKP0TcK1UahqJ/BVwozUD5lglskYY4wxx4cVoDDGnJREJAFsJaya9xBhYHIf4V5LLybc6+n1hFPvMtGaprer6stE5CrgLFV9Z9TX8H0RqQM6VVVF5M3AWlV9b1TU4QpGyozfA5wbrTMyxhhjzDRk0/yMMSez7ar6AICIPAT8JgqCHiAs+FALXC8iKxm9/1IxC4HviMgCwnLh23PO/UhVB4ABEbkFOIcww2SMMcaYacim+RljTmaDObeDnPsB4ZdNHwFuUdX1wOWE65fG83ngC1GBiLeNuWbsVACbGmCMMcZMYxZMGWNMYbWEm94CXJVzvAeonsA1Yzed/SsRKROROcCzsDVPxhhjzLRmwZQxxhT2SeDjInIH4OYcvwVYl68ABXANcJOI/A44OObcH4E24PfAR2y9lDHGGDO9WQEKY4wxxhhjjDkKlpkyxhhjjDHGmKNgwZQxxhhjjDHGHAULpowxxhhjjDHmKFgwZYwxxhhjjDFHwYIpY4wxxhhjjDkKFkwZY4wxxhhjzFHwSj0AY4wxJ6eH/vEXsVqtqATKOgb3xX619+txwPcrN0rMWeKtfvC9fPDZ78vu1gYPyOb8BNGfaaAL6N5x7Ubb58MYY8wJZ8GUMWZaEZEdwFmqOnZDXFMiDbfcWwYsiH4agHnn6e3+u/jMCmAOMBuY9eST63ft3HH6+UA1UHWus+IPp2SXnA9Q7c95GFgHoEHPnVk/3jy7lwOdWt0JnDXOELKJ1rZu4BDQOYE/O4DdwF4LwowxxhwLC6aMMcYUlWhtqwVWAMuApUAiqPTc1AXzzwMWEgZLo+xk6V3AM3OPxeN9g1F7AFKSDYZuC+IPN9RAATmCIbpAXfRzJAYTrW07gSeA7WN+nthx7cZDR9ifMcaYk4wFU8aYKUlEEsDPgT8ApwOPA6+PTr9LRC4HfOAVqvqoiFwDLAeagEXAJ1X1qyd42NPXNbUOYbC09uFg8aJLU9eeBayOfuaMbS4DmW2Er3defVTFxx7z/cFRAVKKTHa4P5Gc96NsGEzpEQVURyMOrIp+DpNobetiTIAFPAzcvePajV3HeWzGGGOmAQumjDFT2WrgTap6h4j8D3B1dPygqp4hIlcD7wPeHB1/BnAeUAncIyJtqrr3hI96qrumtgY4Lfo5lfB1WwdUAKyS3fsIp+wVFjCv2OkkZVVjjzlOatR7Tl92YDjgygZB2dDtVJCOu6ibBTcIsn4JSyXVMvI65dJEa9sTwN25Pzuu3WhTT40x5iRjwZQxZirbpap3RLe/AfxNdPv70Z9/AV6a0/5HqjoADIjILcA5wA9PyEinqFOuP6UMOIPwtTj7Iwfaq14Cl1NkGp1L0FDJQG8f5YcFREMEqnUw0yNxrzrf+WxycBFlo491t6fX5t4/2HNwCdEj9KeTw8HZoWTfolh5EO9G5mQGeiqprBnvaZ5oQpiVWw68YuhgorVtF4cHWBbMG2PMDGbBlDFmKhtbHGDo/mD0Z5bR/x8r1P6kccr1pzQAFwAbgPMJp0gOr0f6TUX5bS/p7Ss6fU4EWR08sf9up7lgMAXAwU6lqT7vqWysomzsMc9Pj8oxBe7w7xFXXBm5zaAg6kJGHDdddAxTy6Lo56+GDiRa254iDKxuB34D/HnHtRuD/JcbY4yZbiyYMsZMZYtF5Jmqehfw14QfSE8v0v6vROTjhNP8ngW0Hv8hltYja9bOf8373GelfXku4XNeWaz9g/F45UT6XTrwcOXdlc1F20jPYC+QP23ketI1WJatjSXdoUN+LDsqmMpKMBxAec5IMIUGiMjxXi91ojQAl0Y/AJ2J1rZbCQOr3+y4duMjpRqYMcaYY2fBlDFmKnsEeIOIfBnYAnwReFeR9n8E2oDFwEdm4nqpR9asrSIMmp4HPBdYv2a3PvjAUlk/kes7VNZNpN0p7s7k98ZpI72pdLHU3/5kdSY3mPL87Kj3nDHBVM6ZAMICFDPRLOAl0Q+J1ra9RIEVYXC1u4RjM8YYc4QsmDLGTGWBqraMOZYYuqGqfyYMLIY8rqpvPQHjOqEeWbN2NeE6p8sIp+75uecvelDbH1g6sb4C36l4NHB71jjZvGudhqxy97rFzgNIf0aLxTsHU7OyKzkwfN+PBaP6zIoOZ6rcnMyUEpZGlyMrjz5dNQKvi35ItLY9xkhwdYuVZzfGmKnNgiljjJliHlmz1iVc9/RiwiCq6NS9lU9kG8OtlibmdifWtYaBosFUwu+sGK8fSQZFH7QjUz1qbVAsFox6zwlygilHHIIAHAcgQMI4StEZmp8qbKgc/dWEmxHfBtwEfG/HtRsPFL3SGGPMCWfBlDFmSlLVHcCEpq5F7a85boM5AR5ZszZOOHXvpYRBVP7KDnnM7ZdlbjoIsr4zoSLif4rHM28eHCjaZl4sWSuDWdWcwhBjOVmJZQudBDoytaPuez6uaoBIOEwVHROMuUA2d83UyZCZKsYFnhP9fCEnsPr+jms37i/pyIwxxgAWTBljTMk8smatD7yIsLjGRqBotqgQH3FXP5p96uFTnIaJtH+8PB4fqaOXn+fgLsns6NzhL59VqI2oVzR71RmMfjqOA44MDirlcQB1xu4g5RAWaMxJaMlJH1ANGRtY/Ra4EQusjDGmpCyYMsaYE+iRNWsFuBB4DfByYPZk9HvmI0Hy4VMm1rajyq+jc/x2a7Jb+ooGU45fqUGg4jh5A55uag877jiDqWwQBVMy5j1Ih5pr9F852ab4TZQLPDv6GQqshqYCWmBljDEnkAVTxhhzAmxq2bwSuKpx5avWrdlyw0smu/9T9lA+0baB75Q9HLhd65xsbbF2a9me/nmR8yKOQ89AL7WVefej6pXqw6Ydus5gKjuUeHLEG70iKpr+F2WmLJKakNzA6vNRYPVN4Ns7rt3YX9KRGWPMScCCKWOMOU42tWyuBq4EriLcRJd9C565fc2WGyb9sRYlnXo/GaTTZY4/fmv4nRvrWacDRYOpNc6u8ddgdfb3FwqmBtyawzJTrgxkhm6LIx45i64EJ6zip8FQA4unjkxuYHVdorXtG8CXdly78cHSDssYY2YuC6aMMWaSbWrZfBHwFsJiEqPWFanjLd1ZueTgkr6dEy4wMREu4jY/nN1/7xnOgom0/1Msnn3bOEUolnntZeP1I93JgquvBvzDp/m53mCGdHTHcUYFUwwvoQpjqMCWSx2LWuAdwDsSrW13AF8Gbtxx7cZxVssZY4w5EhZMGWPMJNjUsjlOWEji3cBpxdpua7wwuWTLzkkfw+mPZgfvPWNCiSm2VoxfhKIx1ldDpngb6UsFhdJHqXj1YdGQ5w4OV5dwHGfMe9BQcb9wM18VWzM1STZEP59JtLZdT5it2lLiMRljzIxgwZQxxhyDTS2b5wNvB1qA+RO5Jjvv9DmZLd8MPHRCpcwn6pR9UjnRth2Vfl3QoThSOPtT6QVlswcP9He4cwtW7ZP+bMG1TZmymsP2oXJzgikRkYFsKih3Yw7AyLZTQz2KrZuaXHOA9wB/l2htuwX4EvDDHdduTBe/zBhjTCGT+kZujDEni00tm0/f1LL5euBJ4ENMMJACcP2y8i2zT9k32WNqTDn1ZX3BhKZxqe/EH8Ibt6bf6szj3cXOO2kt+KVcECt308Ho7JLnpUbdTwbJ4Yl+IsOZqaH/Wix1fAhhifUbgScTrW0fS7S2LS7xmIwxZlqyYMoYYyZoU8tmZ1PL5is2tWy+DbgbeD0QO5q+djdeOOmBgoPI+ocyByfa/ndOrGe8Nut0W9HgTLJOvPBJhwODNaOu97zR3SWDwZFgCjd6TaIa6QVKrptJ1QD8E7At0dp2faK1bXWpB2SMMdOJBVPGGDOOTS2baza1bH4PsBX4PnDRsfYps1c1DDhlk14M4MzHdJxVTiP+HCvLjtdmjTxZ9LyIX3Rq4cHB2lHj8bzUqABpQFM5wdToaX5qmakTySP8cuDhRGvbdxKtbaeWekDGGDMdWDBljDEFbGrZPH9Ty+ZPA7uB64Clk9W343jeI/POeWqy+hvS/DR5y5Tns7UyNu7eVCvcp4tWtHAcv1xTmYIB3MH0rFEBm+elR00LHNRUzhqq6C1JoxhK7C2qBBzglcC9ida2nyRa284t9YCMMWYqs3cqY4wZY1PL5nlREPUE8F6g+ng8zoHG88ctPX6k5qedOZXd2eI1zyOdlX5doMWTP0ti3eM/966+3kKnOjI1ox7A9TKjilLkZqYc3ChrFVXzs7xUqV0G/D7R2varRGvbs0o9GGOMmYosmDLGmMimls1zN7Vs/hSwnTCIKljFbjJ41Qvnd8TqihZ4OFKCcOoD2faJtFXPid2vftEiFHV+ujoeDBSdOihd/clC5w5lRwdTnp8ZlZlKBemRzFT0ljRUw89Ko08ZzwNuSbS23Z5obXtRqQdjjDFTiQVTxpiT3qaWzbM3tWz+BGEQ9T6OcxA1RER4dMEFHZPd7xlbgnHXQg35nVu8CIUIrMhsLRpwSc9gqtC5Lq0ZtUbK87Kjp/kxUt3vsAIUtmnvVLMBuDnR2vbnRGvbSxOtbfYLMsac9CyYMsactDa1bK7c1LL5A4TT+d4PTHifpsnS03Bu7WT3uW6/UzPRtn+Jx4Px2qwNthSfNtiXLthHj4wJpvxg1BqslGaGgylnuDT6UAEK+6w+RZ0JfA+4J9Ha9oJSD8YYY0rJNu01xpx0NrVsjgFvA/6ZI9gf6njwy+vqdlUuPrCo78m5k9Vnfdapq+nI9nXPdscNDrdVxMsoOEkvtJYdRTNdTjJwCjXoc2pGfWnnjw2myAwHYjnBlAAEjmPT/Ka2U4FfJFrbfgn8/Y5rN95f6gEZY8yJZpkpY8xJY1PLZtnUsvl1wGPA5yhxIDVka+NF/ZPd5+kPZCc0fbCryp+d0eKlHla5e4t+8SZpKVjxb8CtHlVwwovp2GBqJDNF2FSGp/mZaeIFhFmqryVa25pKPRhjjDmRLJgyxpwUNrVsPhO4C/g6kCjtaEbLzDttbgYZd7rdkTh9azChrI664t9H8SIUCf9Q0RLqjroFzw/6o4Mpx0HQVHrofkayhaf5iWWmphEHuArYkmht+2iitW3CJfqNMWY6s2DKGDOjRcUlvqSqfwSm5J45rl9esbXulH2T2ee6g86E12L9zokVLG0O0BAbqEWzBQObYhv3puOjgykAx3C+YukAACAASURBVE0OF6zIMDJBcCiYsszUtFZOOH32sURr2+utSIUxZqazYMoYMyNtatnsbGrZ/FbgceBtIlN7B9hdTRdOahZmVuDUznk6M6Gy63ePU4TCd/AWZXYVrPonjutrbzJvkYpMWdVhwZQrOcFUTkJu7JopxWEoS2WmnUbgeuDORGvbOaUejDHGHC9T+sOFMcYcjU0tm88Gfg98GZhT4uFMiMxe1TDglA1OZp+nPZAtOn1vyBOV8aLT+ADWZLcUzV5JV19f3hNeTHoy5aNKp7vO4PC+VZlog14Ad2xmynIaM8F5hBv/Xp9obVtQ6sEYY8xks2DKGDNjbGrZPGdTy+avqOrvgbNLPZ4j4Tie98i8s5+ezD7PeGJi0+W6K/269DhFKNbqEwX3kgo7SRYMBA8O1ow657rJ4TVTQU5maiiYQsIwKlBbMzVDCPB6wql/77Spf8aYmcSCKWPMtBdN6Xubqj4OvGWqT+kr5EDjhthk9rfmkFM3kXbqin+3+oeKtVnr7Cr6mkrvSLZprAPpWenc+547OBxBBc5IwOeIK2CZqRmsGvg8cFuitW1VqQdjjDGTYVp+4DDGmCGbWjafA/wB+JKIzC71eI6FV72woSNWN6F1ThNRHThV8/dkJjTV7w4vXnQa3zL/YLzYeekvGEvRnq4dddJ1B4erTgRCzjQ/bygTlbNmysxAFwL3JVrb3p9obTtsTZ0xxkwn9k5ljJmWNrVsrtjUsvlz0ZS+s0o9nskgIjzacMGE9oeaqDMeyHZNpN3d8XjRKXVNsd6aYudlUAu+n7RnZ43q2/NGZv2pM/I+5Dpj10wJIDbVb2YqAz5BuJ7qlFIPxhhjjpYFU8aYaWdTy+YNqnov8C4RmVGTwXoWnDvhkuYTcfp2ndA3/09UxCqKna/ygvK6THvein0ATsYpmLnqDEbHYQWDqWia30g1P1Fsst9Mdxbwl0Rr2zWJ1raCmz8bY8xUZcGUMWba2NSyuWxTy+ZPq+pvRWRlqcdzPPjldXW7KhcdmKz+VnY5E5r62FPp16VUi5ZIX5XdUrg8Ol7BYKyL2lHvNZ6Xs4RqpB56TjW/aJrfzIqTTWE+8CHg7kRr27QqHGOMMRZMGWOmhU0tm89RDe4F3jtdC0xM1LbGi/snq69KdSoW7ciMP3XQFe8vFC9CsSbYlix0Thy/UrP5N/btpWZ0MOWnh6MkyQ2mHC88NrxmSmyXqZPLeuCuRGvbpxKtbeOW6zfGmKlgRn8gMcZMf9ddeZn36Vdu/HBf968/L+KsLvV4ToT0vNPmZpCiWaIjcfqD2YIZpVy3u/H8e0VF1jo7C45JRES6+/MWsehzq0dNNfT99Mh7T04w5Q2XRh+q8GeZqZOQC7yPsEDFhaUejDHGjMeCKWPMlHXdlZetDFTvEpEPkr7vzP6BJydUmW66c/3yiq1165+arP5O26neRNqNV4RilftU0dLt2jWQd01V0qsa9fielxm+7zjO8O2czJQDoCKK5aZOVisJS6h/zCr+GWOmMgumjDFT0nVXXvZWVb3PETkLwHXEHez5QTobZCYtYzOV7Wq8MDt+q4lZ0e3OIQjGjUp2VhYvQrE41lVZ7LwU2Lg35Y8Jpvzs8H1xHC+r4VP1xqyZsreok54A/wRsTrS2NZZ6MMYYk4+9UxljppTrrrys/lOv3PhT4MsiMmrdRLmfnXuo/YdPlmhoJ5TMWb1gwInnDU6OVBlStnRb0D5eu55Kf3YyKFyEYrafrvGDwYJBnvSl857LxA8LpoartokIySClMJKZYnjNlDEAXATcm2hte0GpB2KMMWNZMGWMmTKuu/Kyc4JA73dENhZqU+nuXNzb9/ikVbubqhzH8x6Ze/bTk9XfGQ9li27KGz6ouH8Sv2CxCkeQ5ZmtBfetkoFM3kVOGi/30oEzHKR5fjCqBPZANhkA+I4nACIaTfOztygzbC7wc5v2Z4yZauydyhgzJXzyFZderap3OI4sKNZORJxsf5uXzQ5mTtTYSuVA44aia5SOxKm7mFBfd7jxopUE1wZbC553UuRfmyUOHama4UqAnqej9qTqDwYDAM8ZO83PklNmFJv2Z4yZciyYMsaU1HVXXlb+8Ze96EbXcTaJyIQKJcQ9retov3HP8R5bqXk1ixoOxWZ1T0Zfy3qdeskE4643u7es4N67AKxle+FpfoFbVujcwXTtcDDluLiqI1MCB4JwNqM3pgAF4mAV/UweNu3PGDNlWDBljCmZT77i0uWpTPaBmOe+4kivrfL2L+nuuW/f8RjXVCEiPNJwwfh7RE1ADImt3BIcHK/djop40SIUq9y9Bd83HPELFqhoz85Kj247OLweLBmkFUYFUwIQIJaZMoXYtD9jzJRgwZQxpiQ+9tIXvgy4P+a5y4/mehGBwd9UpTO9k1KkYarqWXBu7WT1dcbD2XE3A+6r9OqSgRbMPi31OgpupiqOV6aDqXS+cx2Z0cGUKwPD95PBoAL4QwUoZCgzZVkpU5RN+zPGlJwFU8aYE+q6Ky9zPnrFJf8R99zvuo5TNAsynphLdVfHDfsna2xTkV8+u253xaJxM0oTcepuCk7DG+aI+wdihwqdXhAfqNXCBf+gM//GvR1aNypAc92RNW9JTQGj1kyFBShsip+ZmKFpf88p9UCMMScfC6aMMSfMdVdeVj+YztxRHvPfLZOUdajyuxcd6rxz96R0NkVtbbqobzL6WdLv1LupYNz9q273ChehiDnqN2V2F1zHJQU27u0Makf9wnODqUEdmeYXqOJEfznUMlNm4uYCv0i0tr251AMxxpxcLJgyxpwQH3vpC89NZ7OPxn3vvMnu28/8fs5gqmPcKWzTVWre6XMzyDFvVuwh3prHsuNmue4bpwjFmuzWgmXWpXcw7zS/LmpHvd+4bnK4XUpzL3EVIAgCDWdx2bIpM2Ee8NVEa9snEq1tFokbY04IC6aMMcfdh178/Ff5rvNb33XnHI/+PZfy3s7vFJyaNt15fnnFtrrmSSm2cebDQXK8NjsrYwULSQCs0215AyYA6ct/qleqR2/c6w4OB4cpMsMRk2i4H5WSVZvmZ47S+4GbEq1tBdf3GWPMZLFgyhhzXH3gsuf+S3VZ7Fuu40zankn5VPoDTe0dv3ryeD5GKT3ZeNExZ6YATtk7/rqp/gqvrk+14D5eq51dBaMcSQZ531cG3DHBlDc4HEClyY6kn8RTANUgsAIU5hi8DLg10do2v9QDMcbMbBZMGWOOi9c+8wz558uec0NdZfm/ymQtkBpHmd7fkEzum5R9maYambN6wYATP+bKhQuTzlw/GRTMLAHgiPP7IkUolvsHCs4DlIz4+Y4PepWjgmnPS+UEU+mcvx/DmalArTS6OTbnAH9ItLatL/VAjDEzlwVTxphJ99fnnlazZM6sP86urLjyRD6u60isv/u7A+F6m5nFcTzv0blnP32s/biIs/6h7IHx2t3hFi5CscjvrS50zlE379SqtD8mmPJTwwFUhtzfV/i2pJoNOEFBuJnRlgB3JFrbLin1QIwxM5MFU8ZMcSLyQRF5VER+JSLfFpH3ichpIvJ7EblfRH4gInWlHueQN5x/5pJV8+vvn11ZcVYpHr/CT8/v6PjJzlI89vG2v3HDpEyVPP2xbGq8NveXxwsGMtV+tqImcyjv2itx/EoNDp+RmI1XjMlMjWSjsjm1NSQqQKEaqGWmzCSpAX6aaG1rKfVAjDEzjwVTxkxhInIW4dz/04GXAkMByteBf1DVZwAPAB8qzQhHe+vF556zYn793TXlZUtKOY4KZ+uivoEd7aUcw/Hg1SxqOOTP6jnWfk7ZJ0ULTAA8WRmrKnZ+VXZr3umUIq5H78DhgZbnO72ZsuEgzvfTw+8/2VGFCt1wmp9mFRGr5Wcmiwd8MdHadl2itc0++xhjJo39D8WYqe0C4EeqOqCqPcBPgEpglqreFrW5nnDTypJ6+7OfecXS+tm3VsT82aUeiyPipnt+SDZIj7un0nQiIjyyYMMxB4kLUk59eW9QdP3VQIVX16sULEKxRrcWrAoonX1595o6kKodvsbzMu7Q7WBUAmrocBAElpkyk+89wPcTrW3HtGG4McYMsWDKmKltWqwZeddzN/zd0vq6G2Ne/vUypVDmB3MOtX9vxm3m27PgvNpj7cNBZP1DmeL7TYnIXep3FDq9lp2Fqwt2J/MGWu2ZWcMBnOfnBFPOyN9zR0am+U2Tv/5m+vkr4GeJ1rai2VdjjJkIC6aMmdpuBy4XkTIRqQI2An3AIRG5MGrzOuC2Qh0cT81NDfLO55x/7ZI5s65zHccb/4oTq9Lds7in95H9pR7HZPLLZ9ftrlw47sa74znjsaBg1mnIHX5Z3gwTwCpvX96qfQDSl867Jqs9M2u4iqDnB8PXq5NTGZ3wjpK1YMocTxcBv0i0ttWUeiDGmOnNgiljpjBV/RPwY+A+4PvAn4Eu4A3Ap0TkfuA04MMnemzNTQ3ehSsTX0zU173/RJU+P1IiIsHAz+OZ7EDxUuDTzNYFF/cdax/r98u438rfXxYr+Htd4ncVXHclA/lnV3YEs4ZPeH4wXJBCnZG/PzKSmQp0av61MjPH+cCvE61tU6aAjzFm+rFgypip79Oquhp4CbAa+Iuq3quq56nqM1T1JapacE+g46G5qaH8/OVLrl8xb85bp2ogNSTuaW1n+417Sz2OyZSaf9rcrB5bbYZ5aWdOZVe2YPlzgN1FilDUx1K1XpDKGzXJoLr5jh8K6kaCKW8kmCJ3ml+0ZkrJYpkpcwKcDWxOtLbVl3ogxpjpyYIpY6a+r4jIvcDdwPdU9e5SDqa5qWHWecsW37C6of7VUz2QGlLlty/p6v7LjAmoPL+iYmtd875j6UMQTn0wW3BNFIRFKLoC8mb1HEGWZZ7oynsu6+Qt4d7FrOHbroevmlEAcZzczBRgmSlzQp0G3JJobZtf6oEYY6YfC6aMmeJU9dWqepqqrlHVj5dyLM1NDfXnLlt009oFc188TeKoYU7qtppUurvgGqDpZlfTRcdcqfDMx7V4HyJyp8QKZj3XBFvyZrYEL+8UwG6pdUa3S2YBxM2Z5je0zxRWgMKcUOuBWxOtbY2lHogxZnqxYMoYMyHNTQ3znrl88Y3NjfOfN90CKQDfpar70A3HXLhhypizZsGAExt3891i1h6QcRff3+nFCwaga9met4iFOH6lptOHTUPsc2tGTf9zGIiCKWf4vUgYzkyp4lhpdHMirQFuS7S2LSr1QIwx04cFU8aYcTU3Ncw/f/mSm9YumPfsUo/lWFT5vYsOHfrtrlKPYzI4juc9Ovfsp46lj/qsU1fbkS1azOKB8njB94nVzp68a6NEBDnUc9g+Vkm3yhvdbjAAcFx3+DGcaJof4aa90y9qN9PdCuC3ida2paUeiDFmerBgyhhTVHNTQ8MFKxLfW7Ngbsk3Bp4MfvCnuYODB3tLPY7JsL9xQ961SUfi9PuLr5vaU6QIxTK/vfC+Yl19h2XNUn5lWe59V8Jpfq7rSjaacTgUTCmBqm3aa0ojQZihWlHqgRhjpj4LpowxBTU3NTReuDLx/VUN9RtKPZbJ4jlS1tv1ne5Sj2MyeDWL5h/ya3uOpY/TtwZFA5ZkuTvrUEDe6YQLYgOFpwl2Jw8rXJHxy+O59x1ncHjj3/5sKsxSjZRGB0tMmdJZRJihWl3qgRhjpjYLpowxeTU3NTRtWLHkppXz659Z6rFMtkp/sLG9/Wc7Sz2OYyXiyKMNG9qPpY+17c6sog3CIhR5s1dxV2PzM3vyZvmkL3PYeir142WZYGQdlOsmh28ngzCwcoem+ZEN1ApQmNJaAPwq0dq2sNQDMcZMXRZMGWMO09zUsOjMJU1fX90w9/xSj+V4KePhxoHkns5Sj+NYdS84b9wiEsXMCpyaOU9nimbq7vTih61/GrImuyVvZkwG82S8ROhIVw8XtPDc1EhmKggDK0dcgbAAhVXzM1PAIuDntrGvMaYQC6aMMaM0NzUsXt80/yvPWNgwrYtNjMd1xE92fy8VBJlpvS7Hr5gze3dF0zFVKTz9gWzRoLJYEYp1ui3vFEAn4+SNhNrTtcmh266XGslMZcPbI6XRs2r7TJkpohn4SaK1rfAaQWPMScuCKWPMsOamhsTKeXO+cFZi4fOny4a8x6Lcz8zr6PjxtJ/ut7Xx4mMqqHHGE1r0d723MlZd6NwayV8cUdTPWxzjYKZuOPjyvJE4bEDDYMoVLxyLKpaZMlPIBuCGRGtb3gqWxpiTlwVTxhggnNq3ePas685fseSFjshJ84Ghwtm+uLd/67Tefyo1//S5WeWoM2yrO5yiU5gGy91ZHUreqX7Lvf3xfMcd8SvyHW/PzhpeS+X7IzUqkpoatWZKyaoVoDBTzIuBL5d6EMaYqcWCKWMMzU0N8+dVV3704lVLX+Q6jl/q8ZxIjoiT6fupk80OZks9lqPl+RWV2+qa9x3t9dXqVDXszhwq2ECE24nlPb8o1pO3dLo4Xlz7+oOxxzuCuuFjnp8ejpYGgzCwGi6NroFGBSim9TRMM+O8KdHa9tFSD8IYM3VYMGXMSa65qaGupiz+weeuXfES33NPyjUBZV4w+1D7d6f1Zr5PNl14TMHgGQ9mi5ZYv9MvS+Y7XutnqyozXYeVQQeQ9u7DjnfqrOFgyvezI8GUpqNpfm40zS8gmuZn6Skz1fxzorXtnaUehDFmarBgypiTWHNTQ1Xc8/7hBc2rXlke84+pKtx0V+k9taS754GnSj2OozZ7bcOgE8tbDGIiTt+uRd8PHiyPFZz6uSKzNX9Fv66+w4Kpbpk1HBz5sczwY6Y0nP03Uho9sAIUZir7bKK17RWlHoQxpvQsmDLmJNXc1FDmivztJetXvrqmPD631OMpNRERBn9Vkcn0H3VAUkqO6/kP15911MHgyi5ntgaHzcobtq8yVjDYXqdb+/Oe6E0eli3rdWqG33f8WHYkmCKMu4YyU0oWEJviZ6YqB/hGorXtOaUeiDGmtCyYMuYk1NzU4AFvfe7aFa+rr6pcVOrxTBUxl5rOjhumbXZqf9MFR73erUKdisVPBnk35wVIlXu1B4L8RSjWyY7DNugFkIHsYdFZv1PtDd32Y8FwtitNGHe5zvCaKfQkqChpprUY8INEa9vppR6IMaZ0LJgy5iTT3NQgwKvPTix87cLZtatKPZ6ppsrvXNzZ+fs9pR7H0fBqFjV0+jVHXSb9jAeKr5v6ncTzFqFY5T6VN4iTPDm+Qa9quK0fC4YDq8xQMDW0ZopALTNlpoEa4OZEa9vCUg/EGFMaFkwZcxKJAqnLls2d/dr1TfPPLPV4pio3c2ddKtWZf+raFCbiyCMNFxx1mffTduIVO/97P563CMWSWGfeMuiScQ97j0n7FcOl1D0fXzVMXqVlOJiKzgaq9hZlpocG4HuJ1ra82wQYY2Y2e6cy5uRywezK8qs2rFiyQUTs338BvktFT+cNhUuFT2HdC8476kIiy3uceoKgYDboofJ43mBrrj9Y6wTpw65zJHZYxiobKxuuGCkC6EAWIEsgAJ4TbtqrGojV8TPTyDnAplIPwhhz4tmHKWNOEs1NDet9133r89etvMB33byZBDOi0u9v6ji0+clSj+NI+RVzZu+paDqq7FQZEl+2LWgvdH5fVf4iFK6DsyS1bWDscXHiZWTH1KBwPa8nFR8+6BAFUxJmqLxR0/zsLcpMK29KtLa9rdSDMMacWPZOZcxJoLmpoRH4m0uaV55VGY/NK/V4pot4cM/85ODT3aUex5Ha0nhR39Fee8ZD2YLXpsvcmn3ZfCuhYFWw9bApgOK4Dl09h5VHPzBYO3xMSAYAWScMplxxcvaZstyUmXY+l2hte2apB2GMOXEsmDJmhmtuaqgC3n3+iiXr59VUrSn1eKYT15F4f9dN/UGRkuFTUWr+GfVZ5aiKN5z6JEUrAv6WWFe+42vYkb+kfEfXYS/ewdRIMOU4SQVQ0dHT/AhUxbECFGa6iQHfTbS2NZR6IMaYE0NU7b3KmJmquanBBd65an79izasWPICsVLTR6UvWLljzpzLE6Uex5FYeO+mvas6H2480utSaOr173O9wHfyftn2/F2dO/89071k7PGfdy3Z2xL/+GGPl6rvTg5kO8p6vvApdKAPHRhA+0eSX+Vlvl540bPlL3/6s7opkc5kN5lsmtwIzKmajTg+2Z4DQxkrKs++gszT2whS/aSf2krju2/EL7PZq2bKuB14zo5rNx6WmTXGzCxFKzcZY6a9F9dXVV583rLFF1sgdfTK5fGF/QNPHqooX1xX6rFM1JONF2VXdT58xNfFkNjKLdmnH1vnzM93/pGKuEfOxMefb83w7p8n6c88PL/3tJuIzVtGx2++AkFAfFEzyT0PxLOH9iNVNehAH2TCLakcB4IABpJpufXWW6muqsYR4bAv+FxPg94OkYpZYSAVr0SAvj//iIq1FzH42CPEl5xqgZSZai4APgO8s9QDMcYcX5aZMmaGam5qODPuee+94ozm51fE/PpSj2e6G0i7B2vqr57tOv60mB4dZDPpC+/4e40HqdiRXvuDlZkdX1mVTuz71j4IoO6iOuZeNpee+3t46ht7g4XpjNNQ5dCbUh45GNBYLXQMKAM1CdJdByA7CAhk01Se88JU3723xEinwPPC4+kU69bF2Lo1RSoFjuMwf9589ZMipy1Yoz9+ZLNUxivSfYP9vltTn852H/TxyyCdBNcDvxySvbizG8l27GHx+3+CfVdgpqirdly78fpSD8IYc/xMiw8Fxpgj09zUsAhouaR55VkWSE2Ocj9bf6j9B7tKPY6JclzPf6T+zKeO5tr1uyjb+397SbwnwYp/W0HXH7oY2DXA3v/by5L3LXV+3lKd7kkp7z8/xrMSLu85L87L1vpU1dUHpPupv/z91G/8O/DiJLfc6+H5uIuWILNmQzYDAn19SjwuiICqEgQBnQPdHBoI017pbEZccTQY7HdhqBKFhNcne/DnJsh27KX6nJdZIGWmsi8lWttsTz9jZjALpoyZYZqbGmqAd5+zdOHK+urKlaUez0xS6e5a1Nv32P5Sj2Oinm68oGgxCYDf9fVy6RNPcMkT2/hqe1gVvetQam5ZfUxj82JkujJkk1l2fGIH2e4sg/sGucuJ9z6zyeUdNye5e1/A/9yb4q/X+2QPbg87FYdM9wEcv4xgoNchlSTbfhDtOAgKKOzenaanR1ENg6n2jnbxHZ979j4sAKlMynPE1bpzX9wNUHvRG6hYcwHzX/tpnKrZpA/tAZTe+37Bzk9cxs5PXE7Pg5uP0ytpzFErA76faG2zL7WMmaEsmDJmBmluavCAt86vqVqybsG8DaUez0wjIk62/2Y/kx3MlHosE+HVLm7o9Gt6C53PqvLRp5/mywsX8pOly7i5p5utg4O0ZzLuHNwkwIEfH6BiVQXlS8upWl/F3q/v5U+xePLP+7Ksn+ewbq7weHvAc5a6JHu6BC9Oe9u/0/m7b+DEK9BMGmJxnMqqKJAKC0i84JIqli71EYFYLEZtbS3JzCDr5q0AwHe97LzKunT3fZsrAfq33EmQ6mf/jf+CU1YNmRROeQ062IdbMw+najYdv/jCcX9NjTkKi4EbEq1t9pnLmBnI/mEbM0M0NzUI8FLPcU599uplFzqOYwVmjoO4p3Wd7d/ZU+pxFPONWz9F6/Uv499ueos82rDhsA18/9jfxzlbHuey7U/Qkcnyk+5uYiJcXFlFy+5dfGL/fmRfanhmXd9DfQTpAM0qXp3HY5VxXAfKPGFLe8CaOQ47OhU0i6As+ptvUX/5+8h0PoW4HjguUlYOzsh0vLvu6mffvgyqYTCVGkwxmBnkiY5deI6QzmbczmSPl+k95CEO6f07qFx7ERKLk+nYA44PjgsoUXorrGhhzNT0XODvSj0IY8zks2DKmJnjXOCyZ69ZvrIiHstbic1MjkrvwJKu7nv2lXochZy36hLecenHAehacF51vjZnlpfzt3Pn8sKaaq6uD2cg7UunWej7fKxhAU93p+IAFSsqCAYCBrYP0HN/D42vbWR/daz6nEaXR9sDnuqFt54Z4x9/k8QXwPHI9BykfNmZgFK27AyceFyze56E2EgtjM5DAclwiyn6+vro6e0ho1kO9h8iE0TH0wMu2bQgghMrp+een4ETgyCDWz0bcX0Qh2zPAYK+DqrPfslxe02NmQQfS7S2rS/1IIwxk8u+uTZmBmhuamgA3rRmwdyyhXU155Z6PDOdiCCpW6rTmRVJ36suK/V4xlrR+Azae8LaE35F/Zy9FU3tjf175oxtN7aWqyuQBVbEY2RUJdgxkD7w4wO+xIWl71vKjn/fwa7/3MXyjy6v+tXOrH7x0jJ500+SfOS2JL1puHCJn/3lXs/b+9UW8HwQl8E9jxP0HBRicZyKaoLBQZy6OVqdPihBoAwMKI7j09jYyLuaX8W//PKzVJd7evH6c/bfdv/9de2+60is0qs++yV0//67eOVV1F/5YfzZTSfglTRmUsWBbyRa287Zce3G/JtcH2cicqeqnl+KxzZmprJgyphprrmpwQfeVhWPuWctWfgiq2x2YsRcqro6vrOrft6bF5V6LON5fMFFPY3bvj0qmLp3YIDtqRTd2YDX1w2yMh5ngedz70CSq3fv4e2z5/DFj293U6mAOZfMoXxxOVWrq+j6Yxdb/nELG9eVp/68Lx1fXgcDaYcH3lDJO24e8KoSz9DeJx+RoP8Qs19wNdWnXUL/4AO9h356fVV2z05mfeyzxM9+Jh/ZfgWfvPYpBgfR5z3vNbJ48WIu6DyVR9f/gpu2f26gPVOZ3DBrw97PrlgUy5QvaASoan52aV5AYybPqcCHgdZSPLgFUsZMPgumjJn+Xgwsfd66FefHPLeq1IM5mVT53YsOdd6+u27WBQtLPZZiUvNPn5vd+m11Jawwvi5exq+XryAuwrO3beXtu3dx87Ll0IfDhwAAIABJREFUbO7r5bNNTayMx+nKZvlp0Jt6arlbNvDEAE9+4Umqz6qm77E+Vn96NY07unuvoSuemOXQlVTqyoWBDJx61qmZx9Y/3x944i9Un3YJALHqeTrnK9/OHZJUzJud/dKXPbf7kJO974HFHkB/kIxOexkIIPxiwDZDNDPN3yda236649qNt5/oBxaRXqAB+BFQB/jAB1T1RyLyCWCnqv5n1PYaoAf4cr72J3rsxkxVtmbKmGmsualhDXD5M5cvbphdWWFl0EvAz/5xzmCqo6/U4yjGi1VWbqtbO7zGq8p1qXQcPBE+2rCApzMZLn1iG5dUV7MyHufzBw/wT/v28rZZc5IVqypIH0ozuG+QfV/bR9ObmxARtlTG6E8r19+X5uqzw7VQ7zkvxkNt/+d13nY91adfOvz4ktTD3msOJGsDgFjZyLn+YFABHHEDVFEsy2pmJAf4eqK1Le96xhMgCVyhqmcAzwauk3BKww3AlTntXgncVKS9MQYLpoyZtpqbGqqBlsZZNbJ6/tznlno8JyvPoby384auUo9jPE82XpQdun0gk0E1TPjUuS5zPY9fLVtOy5ywEMXlNbXEHYdLY1W1ZY6k526cy7IPLCO+ME71+vDz34HaWHmFL9zyhkp8N/xcdeESjw+/+rSeBVd9dvSapozjjh3PwXRtFiAWGwmmBoJBAAQ3QAIZSk0ZMwMtBf6jRI8twL+JyP3Ar4EmYL6q3gPME5FGETkVOKSqTxZqX6KxGzPl2DQ/Y6ahqAz66zzXqb1oVeKFjiP2b7mEKv1kY0fHL5+cPfsFi0s9FoCv/fqjbNl3H73JLj7wjSu59Kw3kE4PNu7r7M6+blaN+8ueHm7oPIQnQlyE6xobyf2i+bMHD/Du+rk4iGyoqjr4o9v3LWj/ZTvzrpg33CYbdysez7jZVV52VKC0yn36sPEIscOCqY50mJlyXNAgmRWnzE0G6bC9uAGaBhGb4mdmsv+XaG378Y5rN57oKXOvAeYCZ6pqWkR2EG4uDPBd4OWEUwFvmEB7Y0569gHMmOlpA3DexauWLq2IxeaN29ocd3F9oCGZPKWrrGxBbanH8sbnfSDfYXe227eL/Xctek1dHa+pqyt4/WcaR7JKF+x2Ug9+YHnedrcEscFVDFTkHlseP3TY+4q4FYcFU4eC2uFASWQgA2VuUsMCZ4KnoGLT/MxJ4KuJ/8/efcfHdV33ov+tvc850ws6Bm0GJAGwk2ITSZCSaImiJYqk45K4y5Jly5Li6/TwJfncvOQmju9Nbnw/cXL9EifucSQXOS6MLclVsmRblmSJElVIiiLAXtDLtHPOfn8MOJjBDIABiZlBWd+PHc6cukATmbNm7b32wUM/P/mJvRdLeM8AgItjidEuAOGMfQ8C+AyAagA3FnA8Y4seD/NjbJ5Z1VgfAnBnU4U/2VIZ5M5Mc4QUZIwOfi1m2/aMqym2beETX78Xn/7en+TsO372MD7xjXvx3/5lN3594qfp7Rf6T+F/fuMj+JuvfQgnzh8BAFi2hU999w+RSMZyrgMAFxp2zPgLtNUXaNJ5Hc/pRnLitmZn1EnKzPo7IGkIGhmNZ24bsAPpFXYJoxYAJFTqcoKkTVAA8UcUW/BqAPxrCe+nAPw7gE1E9AxSVadX0zuVOgLAB+CMUurKPMtJj2eMcTLF2LyyqrHeAHAvAYltS8N7iPhpcy5x62Zdb++3u2Z63o9fehh1FflHCFb4avG+m/4Im5ZlT4v72cvfwf7r78EHb/1z/PDw1wAAT7z8bWxuuwWGnn8EjhZoqe/X/cMzia3GFJXefiuab99xj5GzTRcQzYkTOWvoiL6BrAxvSIwX8IhiNgDEVcYwP6jUGD8e6McWvn2Rg4fuKfZNiKgKQK9S6rJSaptSapNS6h6l1Aql1Mkrxyml1iildmW8n/J4xhY7fhBjbH7ZByCybWlLq8/p4FVL5yC3eL15ZPRET6HH9w1fwpGuX2L78tvz7q/y1aOxaikmNs+SQkPSTCBhxiGFxGh8GC91/RzXt9866b2IBL1av/1yobEBAIGw7iUr78/TEzDyZm3LksesidtE/3DWtmHhT6dJYiyZSsIEAMixYX5jPzSP9WOLwScjBw8Vbc06ImoA8HMAf1esezC2WHEyxdg8saqxvg3A/kqPu7+trpq7981RgkgmR74Ny07mJBT5fOOpf8Jbtn44J1mazg2rDuBHh7+OBx//JPZc925879kvYs9175n2OgOhbTNux7zhmMr7s1hO6Xg5KXOG+i21T+YcS0PRrBpTVPenP3+kjCkASIzdhq4M8+M8ii0eXgCfKtbFlVJnlVLtSqmi3YOxxYqTKcbmgbHhfXcD6N/ZFnmzFCJ3fBWbM5yaXdXX8/VT0x33YtfP4XNVoKWmfcb3qPTV4Xf2/z3+4Df+EYbmxMBoD+qCzfjCj/4Gn33sf+BCf/7b6+7qqrPuhoIrZwCw8hJN2lTjx7YjJ9Fqk2dzsiAaTWZti+u+jGQqtb6USalLCchUAwrujM4WlwORg4f2lzsIxtjMcDLF2PywG0BoXVN9XZXX3VHuYNj0PPJseGj4SG6f8Awnzh/Bi11P4b//+7vxuR/8FY6efR5f+OHHZ3yv7zz9Wdyx+S785KVvYvOym3H7pjvxvWe/NOnxx0I3zGjeVJUlgsFLZt6uFs/pRk4y1a735GZBCcrq6JdweNLvpUxNsTKR6kkhSANB0VhlimdNscXkU5GDhzzlDoIxVjhOphib48a6973VZeiX1jTV559Yw+YcIiIVfcRpWqM5zRiuOHD9Pfir9z6Ev3zPV3DXLX+G9ob1uPPm3I5+Uzl29gUEPFWoDTQhacZBJCCEQCJ/7gMAiNdtqLLVzJKUdS9affm2n8jThKLVNZLbNdDSsrZZTq9+5fWVZMqiK8mUVOBhfmxxagHw38sdBGOscJxMMTaHrWqsFwDuBJC4sb31RkPTZjzfhZWPoSHQ3/PV8zM977u/+hwOn3wKANB18VX82Zd/C78+8Tj+4/FP4q++enf6OKUUvv/cl3HbxvcBADpX7MW3nv4M/vXR/xc3r/vNSa+vGR7v68EVM4pr4wmVMzcKAHqDek42FdAtrcK8GM/e6tCz3uq6GE6mqlq6lkqm7HQypSlACR7mxxap34scPLS63EEwxgrDi/YyNrdtA7BiaU1lMhTwbSp3MGzmvHpvy8DAr84EApun7L7Y3rAe7Q3rAQB3bL4rvT1cuxx/9d6H8p5DRPjoHX+bfl9fEcbBt/1zQXF1Ne5Mtg28UtCxALCiRwTzbbedUn/R1OJrNNORub0t+Vriaa12fJvmMmBZClKmM6TLsaDp1S9KTTcFANipZuiQqWF+GKtMcUbFFhsNwKcB7Cx3IIyx6XFlirE5alVjfRDAe6Wgi5tbm/bRTNu9sTlDJJ8IJpIDeddqKpuqlaE46XmrTfkEbOGvPpt/7OCPbUfOdZbZJ7IX7iUJGhrJmqt1OR4wAUDXzdTkqLFPJEFCgUDgf/Js8doROXjoPeUOgjE2PU6mGJuDVjXWE4DfAqBtXdKy2m0YteWOiV09XcIz2PfgjDroFZuQuv5KzcZzMzln3YvmUL7tz2lGzmdJG07lZEKyf2g0831PMmgDgG5YAshIppBuQEHgBhRs8fpfkYOHvOUOgjE2NU6mGJubVgLY7nUYvUtrqm4qdzDs2nn1kaa+vp9M2y69lC427NCnP2rchpPIW8l6w6PnfJYslRdzhpGLwVEz832vmVq4V9dTyRREKv+SQhK3RmcMDQD+rNxBMMamxskUY3PMqsZ6F1JrSvVsXxa+UZPCWe6Y2OzQ7WdrY/FLeas75SAD4foBzTdS6PEr+oQ/3/a+oJGTlC11DOZsE8OxrCpTnx1UAGAYduqzSKbmR6Vao6f+Qzxnii1uvxs5eKit3EEwxibHyRRjc89eAJWhgE9vDPo3lzsYNns0QY6Rga8O27Zd7lAAAESCXqnvvFzo8V4lvPVvJOMTtyunkL829awhfCFnQnPY0axKFEbNrLWmBpWfAMBwKAkAQo7lVCR5nSnGUgwA/6fcQTDGJsfJFGNzyKrG+kakkqkz1y9pvpWI+Hd0gfHo8VBf3/e7yh3HFQMNW2c0J2PtEXM03/afKGfWelqCgCXm0ezFgZOUVa0aoivJFHKSKQA8zI+xlNsjBw/xGoOMzVH8oMbYHJHRdCK2q3VbY8gTqil3TKw4XHilMRo91V/uOABAd9dUnXOFegs9/rpuWPm2P6fnNqHosI5nV6YsLat9+qj0CQCQGkjZCSVkqnAlIIkIAiCC4mF+jAH4eOTgIf5dYGwO4mSKsbljJYB1BLr4wevev2d/5MOB1b43d0k48lYC2PwlBGmxoYeTlm3OifF+RxtuGCz02BWD0qvyDFM86dZy5ki1oSv74U+4sub/RXXf+LA/NWprWuqtFJIIisYWm+JhfowB6wC8o9xBMMZycTLF2BywqrFeA/BeAH3vW/ebq2o81SFBQqyqXhfe3/KA1ura3kVKmNNdh80fLt2q6ev5zznR3S9et7HaVoUlLW4lnM3HzcTE7QNB3WFPuMJSOp/d0U86dcQT6Y6AccOb8Rk0agshkLCTkKQRAEq392OMAcBfRA4ektMfxhgrJU6mGJsbOgGEHNIY3Ne+502ZOwypG1vqd4b3Nt0fq9NXdSul+Jv6BcItu5qHR44V3ACiWDTD4309uPx8ocevfdnKWbxXOYT4tW1kdSpcovcaE48TA0Pp7oGm05t+MCSkOv2NWHFbkiTu4sdYjuVIfenGGJtDOJlirMx2tK7zO6XnYwQx+OFNd27yO30V+Y7zGB7vTU13tOwOfajXL5pmtNgqm5sEkbBGvystK172qmNXww1515DKZ92p/FWsH8OZ1emvxRl1QllZx8rBkeiV17bTLS2bFAAQpfKzUTtuCxJEgAA3oGBsoj+PHDw0o/XhGGPFxckUY2XmlJ43+fWqmgZPy+6bIp03T3d8lauq6rbwe0Lbq9551kkVPaWIkRWPQ1MVfb1fO1PuOFC9sj5OWkEJ1fJh6aY8072e1R1Z2Y9TKmq2TmVVq8RgdPweQqAv7kukXsZsAIiquK2RFESKuPcEYzlaAdxT7iAYY+M4mWKsjHa3dVYS0V5N6I9/cOM7B7yGJ2dY1GSa/eGGfeF7Ktf693ZL5Sp44VU293jkhfDg0AsFD7MrBiF149WajQXF4ILQW1/LXW+qy6XlLDDdoY5n/dsUo4msLOxyIpgEACGuVKYSSpAkpCpTnE0xlutPIwcP8WLujM0RnEwxVl53AEDA6aPNTWvXzfRkQYJWVK1uORC+z1jq3nESShY8VIvNHUQExH/oSZojOQlKKV1o2Fnw5PY1L1s5QxOHgtI1sQlFh/16dgkrprI+d3oSQRMApEz1tIiqhJIkRWrOFOdSjOXRCOD+cgfBGEvhZIqxMtnd1tkAYBeA8+9Y/ebNhtSv+ptGXer6prrOyL7m+xMhY203CuzMxuYOQ8I30PvgxXLGIAPh0KDmLajKufYs5f4bM4R4Tjmy1s9qo9PZ8zuSIqv62mMGLWA8mYqpBCQJMbbOFMAZFWP5HIwcPDSjBbcZY8XByRRjZbC7rZMAvA1AwqU7aUPD6q2zcV237vbc0Hhby62hD/cFZeTsbFyTlY5XH2ju7//56XLdn0jQy/Wdlwo5tn1Uc8nExDoU8ENyZa2LtkRezlqoF0p3Zb7tswMKALSx6VpxO6MylRrmx18MMJarBsDHyh0EY4yTKcbKZQmATQDOv3XlretdumNWv2GscFVU7mn5rYbO6nefc1JV2Vtvs8Jp5s8rE4m+si3UPBDa5ivkOAdItr2SjE7c/qzuyPpcaTGG3ZnvFTk9WfezAwAATU8SAMRhKklCYPzziStTjOX3B5GDh4LlDoKxxY6TKcZKbKwq9VYAw5Iktjav316sezX5mkP7wndXXRfY163BPTT9GazcNAn3UP+DfeW6v+6pqTrnChXUJXL1K1bOtm63lpU8BXVLD1q940mX0DQaGEzP7Ruk1LOgrpupZEollRRSCkovNcWVKcbyCwL4g3IHwdhix8kUY6UXAbAKwOUDK29e7XW4864rNVsECWqvXNlyIHyfq81940lSWqKY92PXzqNHG3t7f9BdrvsfbdhZUOK9+hzlfIaM+IXHnDBnr90+lnU92defbrQxLHwCAAw9lZglYUGkKlNQKncYIWMsy8e4OsVYeXEyxVjp3Q4gSiC1M7xpR6luqglN21C3NbKv+X6z0bG+Cwq5CwWxOcOhXqiPxc8PluPe8bpN1XYBTUzaYppDj9vZ5Smd5LMTmlCsUK/HMt/LwZF0ZWpUjiVTDosAIAkTkmisqyAnU4xNwwted4qxsuJkirESGuvgtwnAxT3tO9uDLn9tqWNw6S73joY94T0N9w5UaEvKv1hsiVwcHMbfP/pE+r9/+vAjePzoG3mP7e7txx9+7RBeOHUufe4nH3sC//uRx3HycmoEnmXb+Oef/AIJM3eo22yQgozRga+N2nbpEwrN8HhPBDumXXNKB9HKF5M53f9+LN3Dme9XiJNZibsYjqfbqsd0rwYAhsNOJVNkQ5KUAKBgc390xqb30cjBQwUva8AYm12cTDFWWnsAJAGoNy3ZWrKqVD5BZ7Di1uZ3NO6sft95F1UX1MFtPqv1e/F7t+7E7926E79zyw4YmsTqxrqc42xb4dDhV9FRV5Pe9osT3di7Zjnev30jfvraCQDAz1/vwoZIEwyteM8wbj1Z39v33bIM9+tquKGgNcvWvJabTD5jZDfwWyYuZLX9p6iVTq4ShlcHAIdDEQCYsOhKZUpxZYqxQrQgNQ+XMVYGnEwxViK72zqrAewAcOGGyOZwjaeyudwxAUCDr6F+X/jumg3BA6d0eMoyrKzUjl28jCqPG5Ued86+nx0/ibWN9fA6xxMCQYSkZSNpWZCCEE0k8fLZi9gUbix6rG461jQaPdlb9BtNoKpX1cdJmzahWnGeHBO3dbu0rI59zdpAdrfKBKWrTabTnapMOVOfRxbZECRIKaUARYobUDBWiN8pdwCMLVacTDFWOjcj9WBo3dq2o6xVqYmICG0Vy5sPhO/zdHh2dRH0+PRnzV/Pd5/F+paGnO0DozG8dOY8ti0NZ23vXBbBT4+ewDeefRFvWrEMj718DDevWDa2DFJxCSKZGPqWbdnJks5xE1I3Xq3eOO1QvyUJzeEctbKSrlEfBZIZc65q9IRHV/F0CUvZupZ+retyOGEowwDZyoRFqR+TSLMUbDvP0sCMsVzbIwcPbS53EIwtRpxMMVYCu9s6AwBuAXB+Q8PK+kZ/3bJyx5SPFFKur90S3t98v93k2NClFC24JhWmZePI2QtY1xzK2fet549g79rlECI7SarwuHD/rm346M2dMKTEYDSGWr8XX/nl8/jSz5/DpaHhnGvNJqduVff1PFzy4X4XGnZMO4ZRgrD2RTOrWx9pJJ9WjnR7d0GgpebrA+MHOLOqWZdiAQsAlD0KRanhfgRpQSkCz5lirFC/W+4AGFuMOJlirDRuQOr3zdzbsauz3MFMx6k5XZ0Nu8O3NX5kqEpbdrrc8cymV89fRFNFAD5nzug0nOobwJd//mv89Xd/hMOnz+Hh517CS2eyizPfe+k17FndgZ8dewMbWhqwZ1U7Hj1yrOhxe+Tp8NDwKxeLfqMMMhgJDWrenAYTE619zcpJeH4i3VnnrVDH0wsRK+F0IzlezOqJBmwAUCqK8VKUtBQsBR7mx1ih3h45eKj4Y48ZY1m06Q9hjF2L3W2dbqTaoV8I+Wo8kYrGleWOqVABhz9wS/PbAueHz1341eVHaFRdKHn3wdk22RA/APjTvW9Kv37w6RewIlSL1Y316W2vX+xBwOVEjc+DhGmDiEBESFrF6eiXiYjIjn7fMF2tSU069aLfEACRoFfqt1++/vSjnqmO67hIzonbnnU4bWQ0RF9Bb1jfTF9YkOjtM+26Wg0AepKBsQpoVEH4aOzeNtSCK4wyVkw6gAcA/Em5A2FsMeHKFGPFtx2AE0Bib8dN668sSDqf1HtDdfsiH6jdVPHW0zp8A9OfMTclTAtHL1zGmowE6anjXXjqeNe05yql8INXjuOWlW0AgK1Lm/Ffh1/FF596Fjd2LClazJkcmgr29Tx0tiQ3G9Mf2jZlIgUAzUnN5RmystaSOuXRsrp7tIuzWf/uZW9/OgPtN68kUzFAYGyYn2bzor2Mzdi9kYOHXOUOgrHFhCtTjBXR7rZOB4ADAC4CwNr65RvKG9G1WRpsa4r4l1hHen598rWhx+tsSs6rD21Dk/jLt9yatW37snDeY9+5ZV3WeyLCvTden35f5/fhd2/dOftBTsOn94QHBp89G/BvzF9em2W6p7b6nKu+NxQ9XznZMQKEDYfN/ic6ZTpLjXqoIn4ZtoNSX9q1aj2uzAF7cnC8a0W/HVAAIEQMJCg9Z4rXlWZsxioBvB/AP5c7EMYWi3n3DTlj88wmpFaoj97Uen3E5/BM+kA6X0gh5dqaTZH9LQ9Qi3NzFxQVf4wbyyISP/UnzaHY9EfOjmOhG6Ztmb/2qJX1eUIS2i+VK92EIqRHAypj2B6NxtNvBhBIbaM4SJAAAAFp83Qpxq7KxyIHD3HjFsZKhJMpxopkd1snAbgDQC8A7Ixs3FjeiGaXQ3M4t4XeFL698b6Raq39VLnjWUx0Ce9A74MlW2g5Vr+x2lZTZzYdl4R34rafSle6CYUhlN5on0knZRRT6esNCz8AQMoEhBRjc6akDR7mx9jVWIHUAvGMsRLgZIqx4lkCoB7AUI2n0hUONq4od0DF4HP4/Dc3/0bzrtoPXPRS/YVyx7NYePWh5r7+J0qSxGqG13si0DHlmlO1lnQH+6zRzG3POR1ZydBy69h4D3lLpr85H5HjyZQU48mUGuuNzhibsd8udwCMLRacTDFWPDsBJADgjo5d66SQ067ZM5/Veupq90burNtS8fbTBvz95Y5nMdCtp2vi8cvFXeRqTFfjDcmp9gsQNr2Y7Mnc1j2hCcVKnBi/hnKkfx+iul8AgNSSkFKMDfPTlFKK1+xl7OrsiRw8NO+7rzI2H3AyxVgR7G7r9ADoBHAJANaFli+oIX5TaQ0ubdof/rB/lffWLqGM0enPYFdLE+QcHnho2vlMs8GuXlmfIM2c6ph1R1XWFwZxD1XG7PEuEh3iVLrQZEtPur173OEVAKBrSQghELdNS5BUxA0oGLtaGoB3lzsIxhYDTqYYK47rkPowM3eEN7YEnL7qcgdUSlJIsbrmuvCB8AMy4tzaBSWmfAhnV8+jxxt6er4/fW/3aySlYbxaveHcVMe09YhA5nsSkE/B1Xvl/VLt0vhKydKpYTRqAUDS6ZEAoOupwlXMjicJmq1IKQKP9GPsKr2v3AEwthhwMsXYLBtrPPFmAH0AcGPrlkVTlZrIkIbj+tCN4b1N90Vr9RXdSvGgrWJw4khDNHam6EMrzzfsmHKoaqUtPVWXzKxhhz/VXOnqZJM25MvcJ3sGEgBgOd2aaQOGkWoMGUXSFEIqKIv/wTB29TZEDh6aN4vEMzZfcTLF2OwLA2gEMFjpCjojFU2L/sPMa3h9u5r2t9xc/8HLPtE4ZSMDNnNSkB4b/EbCts2iJh8y2Boa1LxTDt28/rDVl/n+ecd4Ewq/Zrn9Vl/8ynvRP5gqRQmB3lGvbRgWAUBcJU0BqVINBHnaFGPXgKtTjBUZJ1OMzb6dAJIAcMfyXWs1IXlx7DE17prq28Pvrd9a+ZtnHAj2TX8GK5RLN2t7e79T1OF+RIJeqd9+capjrns9e57TaY/myXy/zB7v6CeGoulE6WLMbxmO1LkxlbQEaQqpdal4mB9jV+89vOYUY8XFyRRjs2h3W6cbqWTqIgBcF1qxaIf4TSUcaG3cH/lQcI3vtm4JBzepmCVucaJlePT1y8W8R39oW856UpmW9IqshanjHqqI2kgv7LxSvR698ppGEunjLsf9yulMJ1OmIAkFBUyzvhVjbErNAHaVOwjGFjJOphibXesB6ADMtfUdtUGXn1vTTkKQoJXVa1v2tzygLXFtPwklpmy9zaYniIQ58h1hWXFr+qOvju6prT7vrOudbL9PSU/onDm+OK+A/Blc6SrkCupONyMRifHuf71mwHY6U3lTHElbkqZA3M2PsVnAQ/0YKyJOphibJWONJ/YA6AeA7S0bFuQivbPNkLqxuX5n5I6m++P1+qpuxV0qrolTsyv7er9xupj3ONpww5Tt2LccNrOaYTyuuUeuvG6X59It0WGNr73WZwbgcAC2shFXSXt8zhRj7Bq9LXLwkKvcQTC2UPFcDsZmTzOAFgBdANBe3crJ1Ax4DI/3xqY7vD3RbT1PX3wkMWifCpU7pvnKI8+1DA69eN7vW1NfjOvH6jdV2a9/FYLyT8VYf0LRtzLeP+80CGODOVv0Ac+VQX+KnOnPoEEVQGq53qgdh2m7SANSeTXP95gjlJnA+a/8MZSZBGwb7o5OBHe+B5e+87dInD8OEhJGqB1Ve34bNGGqaKzrMHp/9Jn0+2TPadTs/yO427fh0nf+FslLXXAt3YyKG+8EAPQ/+R8walvhbtta0p9xgfIBeAuA/yh3IIwtRFyZYmz2dAIwAaCjurWywuWvK3M881KVq6rqtvC7Q9ur3nXOSRU95Y5nPiIiQuwxt2mOJqY/euY0w+s7EeyYtCvjkgGZNW/qTEYTimot7tfsuAIApXk02KnMagh+AICtonZCmUqSBHjR3rlF6qh758fRcPc/InTXPyD6xrOIn3kV3pU3oeGe/w+hu/8Jykxg+PCjOac6w2vRcNen0HDXp1D3zo9D6A44W69D4uIbAICGu/8R8dNHYMdHYA73InHuKCdSs+v95Q6AsYWKkynGZsHutk4DwI0YazyxM7KZq1LXqNnfEtoXvqdyrX9vt1SukenPYJkMDf7+3oc3mNnIAAAgAElEQVSK1oa+K3TDpImaSwlPS7eZnieVcFPFsJ3KjCRBRJLHYgAAoRP1DycBYET4x46O2gkylUglUwrgsX5zBRFBGKnRYso2AdsCiOBauhlEBCKCI9QOc2jqHiijrz0J55KNELoTJDQoMwGlbCjLBEhg4IkvI7jzvaX4kRaT3ZGDh4pSqWZsseNkirHZsQyAgbGW6MtrWhf92lKzQZCgFVWrWw6E7zOWunechJLcpGIGvHpfS//AL88U49p2zar6BGnmZPu3vJjVhEL8VLnT79vs4+n/HWVvaq2pUd2f+jyimErAVJI04jlTc4+yLZz93Edx+lPvhTOyHo6GjvF9lomRIz+Gq3XDlNcYeeVxeFbcCADQq5uh+Wpw7vMfg2f5Dph95wAARt3S4v0Qi5ME8K5yB8HYQsTJFGOzYyPGhvi1VjQFqtwVDWWOZ0HRpa5vquuM7Gu+PxEy1nZzu+zCyeSTFYnEwKy3n5fSMF6t3nBusv3rT4536gOAJ6QrHUM7dY139OsfsQAgZvgIAISMKRMWUpUpBYLiOVNzCAmJhrs+hab7P4/4uaNIXDqZ3tf76P+Fo2kVnM2rJz3fHO5F8tLJrISr8pYPo+GuT8G/5a3of+JLCOx4DwaeegiX/vMTGHr++8X8cRabt5Q7AMYWIk6mGLtGu9s6NQDbAFwGgBtbt/AQvyJx627PDY23tdwa+nBfUEbOljue+UCXcA/2PThpK/Nrcb5hh5xsX3hQVsEen/N02O1It2vvEOM5GA3FFAAknT4BAERxZZJFY3OmCCBOnOcg4fTC2bwG0RPPAQD6f/YVWNFBVNx8z5Tnjb76BNzt23IaVADA6LFfwKhvg0rGkLjchZq3HMTIkR/DTsaK8jMsQtsjBw8Fyx0EYwsNJ1OMXbslAJwAEgCwomYpJ1NFVuGqqNzT8lsNndXvPuekqqIuUrsQeI2Rpt6+H5+a7evKYGv9oPTkrXo5IFzL3rDSDUTOeaT7yutlek/6SZqiJgGA6fIKABAyrkzYkCR5mN8cY40OwI4NAwDsZByxruehVzVh6IVHEHvjOVTv+0MQTf1YMfLy+BC/TMoyMfjMt+G//q1QZhzpJo5KAdako0nZzGhILd/BGJtFnEwxdu2uA1LNnht8tZ4aT2VzmeNZNJp8zaF94burrgvs69bgHip3PHOZw36uNha/OKt/R0RCvFq//dJk+7e8ZA1feZ10U0W/LWwAaDZG04kVmamnb+Vw0lDcgCYTsMgWkiRx74m5xRruxfn/+BOc/exv4/wXfxfOyHVwL9uC3kf+CdZoP85/+Q9w9nMfRf+TqQ7c8XPH0PO9f0ifbw5cgDV0CY6W3GGAQ88dgnf1zRC6E3pNKwCFs//2ABxNKyCc3lL9iIvB3nIHwNhCw+tMsTmJiP5EKfXxsdcRAN9VSk0+EL9Mdrd1SqRaol8GgF1Ltq4gmmTxHVYUggS1V65sWRJsNw9feubk8ZEnGxSZRrnjmmukIMfowFf7jOr7fULM3vdofQ3bPDjzWN59a7ugfWXsNQmIH1ju0beLYbdLKq1+tCt5Xg/rUFp6qOCFUR+kloRNigTJsXWmeM7UXGHUtqLhrn/I2R7+o2/nPd4RaoMj1JZ+rwXq0PTAF/Me6998IP2aiFCz/4+uMVo2idsiBw+Jk5/Yy+sOMDZLuDLF5qo/KXcABQoD8AKIA8CqumU8xK9MNKFpG+q2RvY13282OtZ3QfEiRRO59UR9X99/dc3mNXVPXfU5Z+1Avn3NI6JamHa6vPQz4Ypfeb3MPGoCgBKu9Jd6F2MBaFqS7FRlSoBsrk0xNruqAWwpdxCMLSScTLGSIKIIEb1KRF8gosNE9HUi2ktE38w4ZjcRPUxEnwDgIqLniejfx3ZLIvoMER0hokeJyDV2znoi+sXYNb9JRBVj239CRP+TiJ4moqNEtLNIP9p1GFtZtNpd4arzVkeKdB9WIJfucu9o2BPe03DvQKW2pChtweczF15rHI12901/ZOGONdyQ93o6hKP9qNl/5f3LLiOdGy1TJ8YOcmtIJBUA9MT9SteTpISSUkhSSoHLUozNOh7qx9gs4mSKlVIHgH9RSq0FMAhgJYAVRFQztv8uAJ9TSh0EEFVKrVdKvWdsXxuAf1JKrQLQD+BtY9u/COCPx675IoA/z7ifppTaAuB3JmyfFbvbOgVSQ/x6AGDXkq3tgmZx/BS7JkFnsGJ38zsad1a/77yLqied17PYCEFafOibpmWbs1a5i9VtqrJV/hrSllfG501d8Mv08MtldDZ1AhHkpX4TAHqTfhi6BRAy5kxxNz/GZtkd5Q6AsYWEH/xYKZ1SSj059vrLSCUiXwLwXiIKItVe/HuTnPuGUur5sdfPAogQUQBAUCn107HtXwBwQ8Y5D2cePzs/QpZmAEEAUQDoqG7lVSbnoAZfQ/2+8N01G4JvOaXDMzj9GQufS7dq+nr/c9a6+2kOn++of1l/vn1rT1N6GJ/lgafHSjWhaNMupz9/ZO+QBQD9dgCGYRIIWmqYH8+ZYqwI1kcOHmosdxCMLRScTLFSmvgNswLwOQDvRWpl9q8ppSbrgRvPeG2hsOYpV84p9PiZWouMn6nBX9dahHuwWUBEaKvoaD4Qvs/T4dnVRdDj05+1sHlEV/PwyGuzVrE71XDDSL7tDaOyWiZS86ZIgB6xPAkAWOIYSv9OisFRBQCDygeHYQsISElCQNmcSDFWHLeXOwDGFgpOplgptRDRtrHX7wLwM6XUWQBnAfwZgM9nHJskIn2qiymlBgD0ZcyHeh+An05xyqzZ3dZJAHYC6AWAtfUdtS7dwf175zgppFxfuyW8v/l+u8mxsUspWrRNKohIWKP/pZlWfHYW8aldWx0lLWdIngbSVxxJphOtJ4VLAUCNYWpeq88CABpOAACGhR8Oh00kKFWZ4vYTjBULz5tibJZwMsVK6RUAdxLRYQCVAD49tv3fkRoC+HLGsf8C4HBGA4rJ3Angb8euuR7AX85yzJNpQKor0ggAbGhYtaRE92WzwKk5XZ0Nt4Rva/zIUJW27HS54ykXh6Yq+nq+OitNOqQ0HC9VrM47jHLDa3a6EviKU09nSO3mKzEAoHgqpx2VPnIathBEuiSRSqY4n2KsGG6JHDzkKHcQjC0EvM4UKyVbKfWRPNt3APhM5gal1B8D+OOMTasz9v1dxuvnAWydeEGl1E0Zry9j9udMLQPGG40trWzhZGoeCjj8gVua3xY4P3z+4q8ufx+j6kJtuWMqNa92MTw4+Pw5v3996Fqvdalhh4Xe53O2rz1L6S/uLvulTNVzgXbrmP0ctgN2qnFLzAjA4YAQgkhcSaYYY8XgAXAjgEfLHQhj8x1XplhZEdGzSM09+nK5Y5mhjQCGAEATmqjzVofLHA+7BvXe+tp9kQ/Ubqp462kdvrxrJi1URAQkfuRNmsPXPI/MUdUR7JVua+L2xrj0G9HUvCnbB0ePLUwAaKduGwAUHAIAkg4fpARAiWQSlgJxZ3TGiui2cgfA2ELAyRQrCaXUSaXU6jzbNyqlblBKzZuGALvbOg0AKwAMAMCWprWNutSMqc9i88HSYFvTgfC93hXeW7qE0qPljqdUDAnfQO+DF6/1OkRCvFCzMTZxuwTJlS8m4wBAAnhUeaIAsFRekgCg9NTCvabbN3adWCIJS3EDCsaKqrPcATC2EHAyxdjMtSD1u2MBwOq6Nq5KLSBSSLm2ZmN4f8sD1OLc3AUlciotC5FXH2zu63/ymuePjTRsz7t9/Wt2utHFE9JlAUDEGEw1mdEcREMjSrm9sGyARCyRVKYN4kV7GSui9ZGDh1zlDoKx+Y6TKcZmriPzTUuwIVKmOFgROTSHc1voTeHbGz8yUq11LIomFbr5y6p4ojdvi/NCuf0tnm5ndU51avWF8XlTrxiGBIAGI2FIO9XJT7vYb0FKXI55bSFjZgKWglI8a4qx4tEBbCp3EIzNd5xMMTZzmzA2xE+SpFpPVXOZ42FF5HP4/Dc3v6VpV+1dl7widKHc8RSTJuEa7nso7+K7M3GkdktOy/nGpHQ5RmwLAHp8wgEAugAtSbyaBADZN2wDwIWY3xIibo7NmeLKFGPFtW36QxhjU+FkirEZ2N3W6QEQxljziQ2NK0M8X2pxqPXU1uwNv79uS8XbzxjwX3PCMVd5jGhjb++jXddyDRXaqtsTakoSRKtfsKMAYPtgXFYiDgAd1mtJABCDUQUAl+IBJWTciiFpEUhxZYqxoso/LpcxVjBOphibmSvzoxQArK5r5/lSi0xrcGnj/vCH/au8t3YJZYyWO55icKgXQ7HYubxrRhXC6arSXw4szemKuO5oavoZEfBD8vQDQDtO2gAgoqkpVZeTAVtqMRVXSUuQVFyZYqyouDLF2DXiZIqxmWkDkB7CFAk2cTK1CEkhxeqa68IHwg/IiHNrF5Qwpz9r/pCCjNHBr0dt277qwtAbdVtzPl9WXVLpKu4TWqoJxTJxLpUvJVIj+vqsgNK0hJ1A0pbESyEyVmS1kYOHlpY7CMbmM06mGJuZ9QDS39jXeit5vtQiZkjDcX3oxvDepvuitfqKbrWABqW59WRdb+93rnq4n1FznSchZFaS2ZiUhmswtQzCyw5DB4BWoz/VHl1pBAD9dgCaFkdcmYogF85fKGNzF1enGLsGnEwxVqDdbZ0uZMyXagmEfE7N4S5vVGwu8Bpe366m/S0313/wsk80ni93PLPFLY43j4y+0Xs15+q6W/y6Zl3WuYIIa1+whwDgskd4AaDZETMAQEmnAIAh8pOmJShOphIkr+0HYIwVgudNMXYNOJlirHDNSM2VUgCwsnZZfXnDYXNNjbum+vbwe+u3Vv7mGQeCfeWO51oJIpkc+Zay7ORVrbV1vm6rY+K2dUdT06CUB66ztjC9GkRdotuyDbeEZWFE+KHrSUoqU8lUMsXVKcaKiytTjF0DTqYYK9yyzDfhYCMnUyyvcKC1cX/kQ8E1vtu6JZzzukmFU7Or+nq+cepqzvUEl/sHdHfWz7+qR6WruY/BGwWA9sSrJoQELvcjpvlI10yZJAvElSnGSmFN5OAhb7mDYGy+4mSKscKtxdgQPwCo91VzMsUmJUjQyuq1LQda7teWuLafhBLJcsd0tTzyTHho+OUZr7ElhKQXGrZdztwWssjl7VExAHhKdyYBoM1+XQGAuNSPuO4Tum7KJEwlSCpeaYqxopMAtpQ7CMbmK06mGCvA7rZOAWAJMpKpKncFJ1NsWrrUjc31OyN3NN0fr9dXdat52KWCiMiOPuI0reiME8KB2uv9E7etfRF9APCaUycAaKMzAADRN6xMp0/omqWZZJOEnH9/WYzNTzxvirGrxMkUY4WpRurbOwsA/A6v4TXcleUNic0nHsPjvbHpjpbdoQ/1+kXzuXLHM1MOTQX6ex6acdweT2PwrLsma5HjjcdtCwB6fdIBAEv0ywQANByH7fIKQ7d1CzYJIYgrU4yVBFemGLtKnEwxVpisKtTquvY6In7IYzNX5aqqui387tD2qnedc1LFVXXKKxev3tsyMPDM2Zmed6T5hqxkakWPCgKAcsF9ypJ2q3MktaBU3AIcTjKFFBbZJLg1OmOlsqLcATA2X3EyxVhhGjLfLK1s5iF+7Jo0+1tC+8L3VKzz7+2WyjVS7ngKJZKPBxLJwehMzjGrN1VZGU35qm14A+eQAIBHlCtZ7bCk2xxQZAoCgAEVsCyySZIAuDTFWCm0Rg4eyum+yRibHidTjBWmHUC6K1mDv46TKXbNBAlaXrW65UD4PmOpe8dJUjJR7pimo0t4Bvse7JnJOQ7d73ulYulA5rbVLyIGAL+QTlsQ0BZ7zSIyAAC9VtCESILXmWKsZCSAtnIHwdh8xMkUY9PY3dZJAJYCGL6yrcbDzSfY7NGlrm+q64zc0Xx/MmSs7Yaa22srefXhpt6+n86oXfrJxp1Z1bd1J2wbAI65DQKAduu4Bd0DALhsBpNCxm2RqkzN6b8LxhYQHurH2FXgZIqx6XkB+ADEAUCSpIDTX1vekOavz/zqq7j5X9+Pm//tTjzw7b9AzIxn7f+Xpx/Cm/71fdj92Q/gnQ/+Dk4PnAcAvN7Tjds/fw9u/exdePbMSwAA0zbxrgd/F9FkrOQ/RzG4dbfnhsbbWm4NfbgvKCNnyh3PVAz7mZpY/PLw9EeOHV+5viomxudArelXTgDo9UkNANrRDXJ4oKJx1WNXmkKPKUkaeJQfYyWzvNwBMDYfcTLF2PTqkfHt+PKaJVWaSD0Aspk5N3QJn3v26/junZ/BDz/4Bdi2jW+/8qOsY1bXteHQnZ/BY3d/Hrd33IS//smnAQBffv7bOHjjvfjnt/wl/vnpBwEAX/r1t/DWVbfCpTtL/rMUU4WronJPy2817qh+zzknVV2e/ozS0wQ5RwYeGrJTBaYCjjccz9asSlenqpRyVp1CHB7STlrCXiovpDr6Xe6z+lTQljKuJARnUoyVDlemGLsKnEwxNr16ZHw93lHdykP8roFpW4iZcZi2iagZQ523Kmv/9vCGdHK0oWElzg9dAgDoUiJmxhE149CEhoHYEB47/iTevvrNJf8ZSqXR1xTaF767an1gX7cG99D0Z5SWR4+H+voe6Sr0+Iuh7VmZ16rDSALAD2yn2eoYSH0e9Q7a/SqoSItBklBcmGKsZLgyxdhV4GSKsem1YWyIHwA0+Gt5iN9VCvlqcO+Wd2Lrp9+Bjf/4G/A5PLixdfLlTR48fAg3LbkeAHDnhrfiM7/6Kv6fR/43Prrtffg/T34BH932fiz0FvWCBHVUrmw5EL7P1ea+sYuUNqeaVDjxckM0drqvkGN9gZW+ft2VXvh3TZcSAPC05rAb3TFN2EnQQFQNUoCkHocgSTxjirGS6YgcPLSw/x8qY0XAyRRj01uGjOYTQac/WMZY5rX+2BAePfYzPPWRh/DMA9/EaDKGh488mvfYh488isPnXsNHtrwLANDor8PX3v0P+Nb7Pg2n7sCF4ctYVtWCj333r3Dft/4cJ3pn1A9h3tGEpm2o2xre13y/2ehY3wWFwsbXFZkUpMcGH07atjlt2iNI0jN1G9JfTKwZtB0AcMxlCEMCLbFjEKNJjAi/lFockgSwwJNlxuYQN4CWcgfB2HzDyRRjU9jd1mkgNcwv3Rbd5/AEyhfR/Pazk8+gORBClTsIXWq4rf0GPDPWTCLTEyefwaee+iI++7a/gUMzcvb/r8c/gz/c+UF89tlv4C0rd+P3d9yNTz75uVL8CGXn0l3uHQ17wnsa7h2o1JbMiSYVLt2s7e35Vnchxw7Vb03/D1qplKx/A7HegC4BYGn8KBC3EZU+XWpxgLgwxViJ8bwpxmaIkynGplaHVPOJ9DOd13BzZeoqNfrr8OuzLyOajEEphSe7nkVbVTjrmJcuHMXBR/4On33b36DaU5FzjZ93P496bw1aK5sRTcYgiCBJIJqM5xy7kAWdwYrdze9o3Fn9vvMuqr5U7njc8mTz8OixaZtlBLxLjHOuqnQjilVHkLTdQh5PSnup3aWELSmhu3VNS8CCrbibH2MlxfOmGJsh7kjG2NTqkPE0pwlNOHWHr4zxzGvXNazE7R034bbP3wMpJFbXteHd6/bh7574N6yt78CtbTvw1z/+NEYTUXzkW38OAGjw1+Jzb/sEAEAphU899UX837f8BQDgPev24b9993/AtC18/NbfL9vPVU4Nvob6fd67cbz/6KkX+x8LJDHiL0ccgkgkRr4rLcf9ppSOKT9bjjRsjYVeP+QBgLXdSvwQhB/YLnuZOKcROaWlu52anhg0yeZUirHS4soUYzPEyRRjU6vJfBMONvgFcbvma/H7O+/G7++8O2vbH+z8YPr1f7zzk5OeS0T4yjv/Pv2+rTqC733g32Y/yHmGiNBW0dG8JLDMevHysyePDv+sXlGy5P3inZqq6Ov5eld17XvCUx0Xr73eax//LgQRVg9aTmULPCMc6j5HH0h3C6UbTqklyYTNw/wYKy2uTDE2QzzMj7GphQCkV4RtCtTzED82Z0kh5fraLZH9LferJsfGLqWo5E0qPNr58ODQC+enOsblqHIcDbaOAoBPQYaPI/m6R6clnhGQZhBGE/FhuJUJm3MpxkqrvdwBMDbfcDLF2NTqkZFM1XmquPkEm/OcmtPV2XBL+LbGjwxVactOl/LeRATEf+g2zdEpW7ifDG1Lt0hf9bKyeoOaqHDYqEyctalveGRQ+G2TLE6mGCut2sjBQ7LcQTA2n3AyxdjUapCxxlSlO8iVKTZvBBz+wC3Nb2u6sebOi26qu1iq+xoS/v7eB6esTlH1Bm8cUgHAmtMQtkeIlxMalsVftTAQiw/CB5NscAMKxkpKAOC1FBmbAU6mGJvE7rZODUAQGclU0OXnyhSbd+q99bX7Ih+o3Vzx1tM6fAOluKdX72/p7//FpK3bdc0tn69ZPQoAK4aVTqaNx5JuLDVPKBqOmwPCr6zSj1JkjKVGZDDGCsTJFGOTCwDZC6P6HV6uTLF5a0mwrelA+F7vCu8tXULp0WLfT5pPVSQSfaOT7b9Qf70AAI8CLXvFtp6RTiwTZxSNmhgWfjKJR/kxVgZ15Q6AsfmEkynGJhcEspuJeQ03V6bYvCaFlGtrNob3tzwgWpybu6CEVax76RLuof6H+ibb765Y5erRPRYArHnVst/w6FimXRIirsSQ8JFNNo/xY6z0uDLF2AxwMsXY5ALImLBBILh1JydTbEFwaA7HttCbwrc3fmSkWus4pVRxqkAefbTxcs9j5/LtE0LDr2qvjwHAqrOggUqBpa4hSZZwDAk/2ZTkRXsZKz1OphibAU6mGJtcBTKe5Br9dV4pJHc5YguKz+Hz39z8luY31d19yStCF4pxDxcOV46Mns7b3W+0frMOAO2jQpM60COhXDD1YREQQo/xOD/GSo+TKcZmgJMpxiZXDyD9ANjgr/WXMRbGiqrWU1uzN/z+ui0Vbz9jkH/SoXlXQwpyjA48HLXt3IYSQV+LccJdl3SAsOww8APbZbXZXeYoPEJoU3ZXZ4wVB8+ZYmwGOJlibHJZC/b6HV5XGWNhrCRag0sbD4TvDazy3dollDFp84iZ8jnNwPnz38h7vedD2y0AWPmqwrOaAyvU8Zg5SrYw4mrCtEXGWPFxZYqxGeBkirHJ1SIjmXIbLkcZY2GsZAQJsbr6uvCB8AMy4rz+JJQwZ+O6AUe3a2To2HDO/Wo3ahYU1lyw8YZHpxU4aVmjSgktzqkUY6XHyRRjM8DJFGN57G7rFACqkLHGlFt3cjLFFhVDGo7rQzdF9jbdF63VV1xzkwopiGLD35aWlZiw5ECF9lJwqdWRAOIuIdvlWWmNkpJ6nLtPMFZ6nEwxNgOcTDGWn2/sz/TTo0vjZIotTl7D69vVtL/5lvoPXvaJxvPXci2Pk1z9lx7KWcz3eGirrRPQ9hqsET1K9qhCUruWOzHGrlIwcvAQf94xViBOphjLz40JkzVcusNZplgYmxOq3TXVt4ffW7+18jfPOBC86iYVbuNi00D/cyNZ26qu02LQsOqorV51wNZiSQxKj81zphgrC25CwViBOJliLL+cxMmhOfibOsYAhAOtjfsjHwqu8d3WLeGccZMKIiIV/yES5nA6U3Jobnq6ejXWXoR4zmGoSOKM3S99U12GMVY8nEwxViBOphjLLydxcmgGJ1OMjREkaGX12pYDLfdrS1zbT0KJ5EzOdxrSc+n8F+KZ2y7UbcGyJLTzShMr7DfUoOblOVOMlQcvBcJYgTiZYiw/BzIW7AUAh9Q5mWJsAl3qxub6nZE7mu6P1+mrutUMulRUumPO830/Ti8mFaxahQHNo8InyV5hd9OQ5i1O0Iyx6bjLHQBj8wUnU4zll5M4GdLgOVOMTcJjeLw3Nd3Rsjv0oV6/aD5XyDlEBCP5tIwlexUASKHhl7WbzDUngITsUyPKKG7QjLHJcDLFWIE4mWIsPycm/H4YXJlibFpVrqqq28LvDm2vetdZJ1X0Tne8W9dlz+UvpIcIjtRvoTUXlLfbGbVjMYEJBWLGWGlwMsVYgTiZYiy/nG5+nEwxVrhmf0vDvvA9Fev8e7ulcucs1JupyqmM7p5HTQCoDEQ0W68VMTuGaIxAnEsxVg6cTDFWIE6mGMvPC8DM3KBLjZMpxmZAkKDlVatbDoTvc7Q6O08rW9qTHeu3D8uhWGp04MuNNw00n1TKlxxUxJUpxsqBkynGCsTJFGP5eZCbTPGcKcaugi41fUtoR9Pepo8kg7RiGCp38SinJqin7yEAQKJ2Q0XjGaEvs04rgHihKcZKz1XuABibLziZYiw/DwDryhtBgjSh6WWMh7F5z+fwOvZE9nt31X0wWqEtOztxf73Txhvnv5l0Gt6AQAfi1Jsv72KMFR+PxGCsQJxMMZZf1jA/TUgea8TYLKn1VLtvbX5bQ2f1+89rVmUic1+19ro+Ejs70F+9U1jRIaX4N4+xctDKHQBj8wUnU4zll1WZ4mnwjM2+Jl+o/jeW3mO0OXYlbNtQAKBLgdGhr8eooqO2pStJoEmnWTHGiodHYjBWIE6mGMvPjQlzphhjs08QYUPDFuOt4fspoG+BbWvwaWZd7+D3LmpYSRbxxxRjZcCVKcYKxJ9SjOXnQkYyRVyYYqyoHJoDb27ahduaPqzqnJu7AnijQZFf4xlTjJUFJ1OMFYh/WRjLzwCQHl9EnE0xVhJBh49uCr0p3Bvf3PfkxSeksG3FA/0YKzke5sdYgTiZYiw/yn7DudR8YSsbNmylAGWr1J8KtrIVlA2loFTqT1LKhoKtVGojlBp7DYXUMTYUrhyvyIatoAAFGyp1JCllp7akjgWUnTpb2YQrR2EshrHrAhi79vi+sb1j9x7bnjqfQFfuNfYnlELqT2D8rHTfu/FrXtkPADYUQKAJx2WeRwpQGcdQ+ihC+v+OVYpI0ZWrXPnlUFBENLbWdXjSy2gAACAASURBVGrv+C8OKSiyLMtlK1sngklSxEGkLMt0KUUSSukmKUEklK7rg3BBOtouGXpgaTR+ZuSi1Dy1RfonwxjLxc+HjBWIf1kYyy8re7Jhq6OJU5eUQvpBO/3QfeVBFwpKjT1MT3hwTm0Zf3wdfxgf20tXrjP+Pv3gPHbe2AO0yv8wnP3grKCgCASlYFP2sWPvSI0/Amc/OI/99Km7Xzkm9Yidfg2krp/54Jw6j8bfp9dbzXywJkx8nX7kJhp7nbn9ynGUMdYyvZ2yz8ksIGZen80amuR1YWdq4x85DqSavECDke/QgNBPXdy08ae1XxrZ25Nc31qbfPnMWf3EqEPq7qqrCp0xNhNcEGasQJxMMTa5dI6QhEWP+4/WlDOY0pv4sFz4w/PVn8kYII2TFzZvfKJC12HQyNjGlY0NieU26IXuU8ZZyy80Z6CsQTK2sEXLHQBj8wU3oGCsALZl87d0jJVAwn7F3rzpiUpdv1KyGm9BQUIA10Wa43sivngw3mWbiZFJLsMYuzacTDFWIE6mGMsvq5iibE6mGCs2U72EHdufEbo2PvmdlMpp6EeaFOr6JeH4LU1G3D16UlnJWGkjZWzBGy13AIzNFzzMj7E8TFhOC3Z47G1qjpBSirv6MVYcmvbr0a1bXnLp2sRRoZM3RyeHrqudbZHYSCwmn+46qcdcjSQkdyFj7NpxZYqxAnEyxVgel2moEkAFUl3RFMaKU1LKMkfG2MKj68+MbN7yslvK3C8rVCLhne588jid9q6OSGxgdER7uvusZnmaiQSPvGDs6nEyxViBOJliLI8EmacA/AoZHY2UUhsAOMsWFGMLkOH4xcjmzUfdQkxW9VUFV4Mp4PZYu5d7zEsDA9qz5wY1eJu4mszYVeFhfowViL+5Yyw/GxPbo9t2okyxMLYgOZxPjmzefNQzeSIFCKcxNNPrUk0gYL15eXNsjavPtIbOXFuUjC1KXJlirEBcmWIsPwsTkinLsuJlioWxBcfpenxk06aTnukKRzTFnKnpUGNVpdlYBfPExQv6K31Kat76q74YY4sLJ1OMFYiTKcbyy6lMWZbFHcMYmwVuz49GNm484ylwBbKrz6auWFJbl1xSi+QrZ87pr4/qUndXX/M1GVvYOJlirECcTDGWnwmuTDE267zex0au23DeU+jx11KZyrGiMZTosCFePHVKP5X0Cd0VnL2LM7ag8JwpxgrEc6YYyy8GIKt1n2manEwxdg38ge/PKJEqBhICal24Of7mVn+8It5tm/HhcsbD2BzFlSnGCsTJFGP5jWBC5ZYrU4xdvWDw0Mi6dZdmnEjNamUq87qaFGrLkpb47hZn3BvtUlaSHx4ZG8e/D4wViJMpxvIbBVemGJsVlZXfHl2ztvfqKlLFyaXSyNA01bksHNsVEgnHyEllm9y1kzEe5sdYwTiZYiy/nMoUJ1OMzYxSNqpr/nN01eoB99Veo1iVqZz7uBwO+6b2SKyzxkzKoS5l21ZJbszY3MTDXxkrECdTjOWXk0wlk0lOphgrkFK2qqv/z9EVK4auOpG6cqXZiagw5He7rVuWh+NbAiNJDJ1SqrT3Z2wOsABcKncQjM0XnEwxlt8IJgzzSyQS3BqdsQIoZalQw8PRjo6Ra0ykSleZylHl91t7ljfH1rn7TGvodHmCYKwsLp78xF6uzDJWIG6Nzlh+w5jw+xGNRkfKFAtj84atTNXU9HBs6dL4NSdScwGFKivNUGWlefLSJe1Ir6Xxwr9s4Ttb7gAYm084mWIsv5xORiMjI0PlCISx+UKppN3S8nC8tTXhmq1rlq0yNVGkpsaM1MA8eu6cfnRIk7qnptwhMVYknEwxNgM8zI+x/OKY0EdsYGBgsEyxMDbnKSSsSOTrs5pIzUntoVDyjvaaeMg6bSejfeUOh7Ei4GSKsRngZIqx/OIA7MwNQ0NDozZ3+GIsh1Jxa8mSrydawuasJ1JzpjI1gVrb0hS/rTUYr0p022acq9ZsIeFkirEZ4GSKsfzyLlhomia3i2UsS9Rc1vb1ZFOTVaSK1NztpkdSktrU2hK/tcWd8EVPKivJa/OwhYCTKcZmgJMpxvLL+01zIpHgb6AZG6PUSLKt/WGrocF2/v/s3Xd0W/dhL/DvD5MkuEmJpAZJTVLWojVok56yHS86dZzEjms7iZu2aeyXvvNOm7Zp05c0bZqqTV+SJmkdx06ixPGWPOQhW7IGbQnae8JapCRK3BvABXDv/b0/LmRLFEhxARfj+zmHR8fABfClLJL48rei9RoifrvUJ4TdZtVrZ5Yry0pswTRvg9R48C8lNJYpohFgmSKKrA8Rvj5YpogMUvaFKue8rhcX606zs8QLke506LfMLldumqgGbf08+JcSFcsU0QiwTBFF5oOxZuqyr5FAIMBNKCjlSdkTvGbuG/rEiTLqRSpe10wNRWSlZ+i3V5QFrsv1hdB3hgf/UoJhmSIaAZYpogg8Ho8E0AnAcentiqJwZIpSmpRdgXnzV6OwEDEakUrgHpKflaXdVVmqVLm6Vb3vHDsVJYAQgDazQxAlEpYposF1AJe/YfT7/SxTlLIkOpQFC98W+fmX/5IhmkSsXiiKRHFennpP5ZTANWntqtp/wew8RENoblhex9ZPNAIsU0SDa8eAMtXX19djUhYic4m2wMKF71hzc2NXpAxJ9L6utLBQrasoUaZbmrWQt9XsOEQRcIof0QixTBENrhUDpvl1dHR0mJSFyETNSlXVGktOjrDH+pUTcc3UVc0qKQ7dN3uiMllv0kP+TrPjEF3inNkBiBINyxTR4Dox4Gukp6enX9O0gEl5iGJPnPMvWrzWmpUV+yIFACKphqYGmDd1cuDe6XlKYeiMrirc3IbigcfsAESJhmWKaHB9MHb0u4yiKBydopQgxBn/4sUb7C6XOUXKIJNh2dSghMUisLi8NHBnmSuQrTTqapAH/5KZDpsdgCjRsEwRDS7ib4r9fn97rIMQxZrFctq/eMkme0aGsJmZIymn+UUg7DarrJlRFrhjsj2Y7muUmsoRcDIDyxTRCLFMEQ2uCxE2E/N6vRyZoqRmsZzwLVn6kSM93dwiBQACqbWfuHA67PrNs8qUW4r0oK2/QeqaanYmShkaOM2PaMRYpogG1wvjzA3rZTf29nJkipKWxerxLa12O51OYb361dGXKiNTAwlXWrp+e0W5UlOghETfGSn1K6YcE42zUw3L6xSzQxAlGpYpokGED+69ACDj0tu7uro4MkVJyWo94q2u3p7mcMRHkQKAFBuYuoLIdWVqd1aWKouyelW97ywP/qUoOmJ2AKJExDJFNLQzGFCm2traOviGhpKN1XbAW33drnS7XcTVzwWR1NtPDJ+YmJur3lM5NTAvrV1V+3gWEEUD10sRjUJc/dAkikNnAKRdekMwGFRDoRAP76WkYbfv9VZX70u32eKrSAGA4C8uLjelsFCtq5ykzLS2aCFvi9lxKKlwZIpoFOLuBydRnGlDhO3RuaMfJQu7Y6d3afXBjHgsUgaWqYhmFBeF7ptdpEzFeS3k49RjGg8cmSIahTj94UkUN9oR4d1cf39/swlZiMaV07nNW119NMNqjd/JdHEbLF5cM3lS8N4Z+crE0FldVThiTqOlAzhmdgiiRMQyRTS0DgzYzQ8AOjs7uWaBEpozbYt3ydKPXRZL/BYpABBXDgzTAMJiEbi2fGrgrvKsQE6gUVeDXrMzUcLhTn5Eo8QyRTQEj8cTANANwHnp7c3NzRfMSUQ0dunp9d6lS0+6LJa47lEXcZ7fMAmb1SKvn14WuGOKI5Dha+DBvzQCnOJHNEosU0RXdw4DdvRrb2/vUlXVb1IeolFzuTZ4lyw94xLxPSD1CQGZGEHjiHDa7fKmWeXKLUUyaO9vkLoWMjsTxT1uPkE0SixTRFd3CoBr4I0+n4+jU5RQMrPWeRctbrri33J843Z+oyVcaWn6bRXlSm1hMGTpa+TBvzSEQ2YHIEpULFNEV9eACF8rvb29LFOUMLJz3vNee21zghUpQHAPijETORku7TOVZcri7L6Q7DsreVAeXWmb2QGIEhXLFNHVnUeEdRvchIISRW7eO96FC9sSrkgBgODI1LgRE3JytLsrpyrz07tUra/J7DwUNy40LK87ZXYIokRlMzsAUQJoA6DB2NVPu3hjS0sLy9QYvPnmm/j444/hcrnw5JNPAgDWrl2Ljz/+GFarFfn5+bj//vuRlpY2rMcCwLp163DixAkUFxfjgQceAADs378ffr8f119/fWw+sTiTX7DaO3duT0IWKQAQ3H9i3InJBfnq5AKop1pb7Ee7YLVlFpmdiUy1xewARImMI1NEV+HxeHQApwFkXnp7e3t7NzehGL2qqio89thjl902Y8YMPPnkk3jiiSeQn5+Pjz76aNiPVRQF586dwxNPPAEpJVpaWhAKhbB//34sXbo0ap9HvJJSR+GEN3yJXKQoyqZPLArVVRQppTz4N8VtNjsAUSJjmSIanqMAsgbe6PV6uW5qlMrKypCenn7ZbTNmzIDFYnxbmjJlCvr6+ob9WCEENE2DlBKhUAhWqxVutxvV1dWwWq84KiypSanLouLXfXPm9GVc/er4xpGpGJgzeVLw3hkFgWL1rB5Sus2OQzHHMkU0BixTRMPTiAhfLz09PWdNyJIS9u3bh5kzZw77eqfTiTlz5uDpp59Gbm4unE4nzp8/j8rKyiimjD9SarJk0mv+igpfwhcpgGUqVoTFArmwbGrg7vLsQF7gjK4G+s3ORDHRD2Cf2SGIEhnXTBENT8RNKFpaWhpKS0tvMSFPUvvwww9hsVgwf/78ET3uhhtuwA033AAAWL16NW699Vbs2bMHJ0+eRFFREW6++eZoxI0bulTl1CmvKdNnBJKiSBlYpmJJ2KwWWT29NBBUVcuO0w2OXnuxsNqvXLhIyWJ7w/I67eqXEdFgODJFNDxtAFQYm1B8orGx8Zyu6/xBNI727duH48eP4/Of/zxGe7DshQvG7MuCggLs378fDz74IFpbW9HRkbzLQqQM6WWlq5TpMwLpV786cXBkyhzCYbPJG2eVK8tKRNDJg3+TGKf4EY0RyxTRMFyyCcVl66ZCoZDq9XrPmZMq+Zw4cQJbtmzBww8/DLvdPurn2bhxI5YtWwZd13HxSB0hBEKh5Hw/KBHUyqetDJRPCyZVkQJ4yJTZRLrTqd9aUa7cUBgKWfoaJX95lGxYpojGiNP8iIbvKICZAC5boN3V1dWQlZVVZk6kxLVq1So0NDTA5/Phxz/+MW699VZs3rwZmqbhueeeA2BsQnHfffehr68Pq1evxqOPPjroYxctWgQAOHbsGCZNmoSsrKxPnuOpp55CUVERiouLzflko0jKgDZ9xqrQlCla0hUpA0em4oHIzsjQPlNZpnX09lp3ne+2ycypYrRDxxQvNPCwXqIxEzwInWh4Kioq5gL4KwCXbToxY8aM8urq6q+ak4pSmZR+deas19RJk/SkXdPyw46/aDhceGe52TnocvJ8Z6d9X6vfZs2abHYWGrU9DcvrFpsdgijRcZof0fA1wJh1dNlvY8+cOcN1U2QCb2h2xSotmYsUwDVT8UpMys9X762crFQ42lS1v9nsPDQqnOJHNA5YpoiGyePxeGGMSl12eC/XTVGsSdkXqpzzul5cLJ1mZ6EUVz5hglpXUayUiwtayNtmdhwakS1mByBKBixTRCOzF0DOwBu7uroaYh+FUpGUPcFr5r6hT5iQGkWKI1MJomJSSahu1oRAiXZOD/m7zI5Dw/KR2QGIkgHLFNHIfIwIXzfNzc2nTchCKUbKrsC8+atRWIiUKFIAy1RCEQJyQemUwD3TcgMFwTO6GugzOxINak/D8roLZocgSgYsU0Qj0xj+87J1U42Njec0jeewUDR1BBYsfEvk58NhdpJYYplKPMJqFXLJtNLAnaUZgUx/o9RCfrMz0RXeMjsAUbJgmSIagcHWTamqqvX29p40JxUlPdEaWFj1jiU3V6RUkQJYphKZsNus8oaZZcqyEmswzdsoNTVodib6BMsU0ThhmSIauYjrplpaWj42IQslvQtKVdV7luxsMfpTjBOYgORZRglOpDsd+i2zy5SbJqpBaz8P/jVfU8Pyut1mhyBKFixTRCMXcd3UyZMnP5Y8uI3GkzjnX7R4nTUrKzWLFAAI8GsqWYis9Az9joqywHW53hD6zvD7pWneNjsAUTJhmSIauYbwn5f9xry3t9fr9XqbYh+HkpEQZ/xLlmywu1ypW6QATvNLSvlZ2dpdlaVKlatb1ft4rETscYof0ThimSIaIY/H4wNwEhGm+rW3t3OqH42ZEKd9S5ZucqSnC5vZWYiiRRTn5an3VE5R5jjbVLWfO8vFhg/AerNDECUTlimi0XEDyB54Y2Njo8eELJRELJYTvqXVHznT0oTV7CzxgCNTKaC0cIJaV1GiTLPw4N/oW9ewvE4xOwRRMmGZIhqdo5FuPH/+fGsgEOiOdRhKDlarx7e02u10OlmkLmKZSiGzS0pC982eoEzWefBv9HCKH9E4Y5kiGp0WAB0AMgbe0dnZyal+NGJW62Hv0urtaQ4Hi9SluJtfCpo3dUrg3um5gcLgGV0N9JodJ4lIcPMJonHHMkU0Ch6PR8KY6pc/8L6mpiZO9aMRsdkOeKuv251utwt+T74Sh6ZSkLBYhFw8rTRwZ6krkK006mrQZ3amJLCjYXldi9khiJINf3ATjd5BDNjRDwBOnTrVoKoq56TTsNjte73V1+3LsNlYpCKxcGQqpQm7zSprZpQFbptsC6Z7G6SmBszOlMA4xY8oCvjDm2j0GgCEAFy2dbWmaXpnZ2fENVVEl3I4dnqXVh/MsFoFC8OgeBYRASLd4dBvnl2u3FKkB239jVLXVLMzJSCWKaIoYJkiGiWPx6MC2AWgYOB9jY2NB2KfiBKJ07nNu7T6KIvUVXDNFF1KuNLS9dsrypSaAiUk+s5IqetmZ0oQJxqW1/HnElEUsEwRjc0uAI6BN548ebIxGAz2mZCHEkBa2mbvkqUfuywWFqmr4W5+FInIdWVqd1aWKouyelW976zkAObV/M7sAETJimWKaGyOw1ggf9nXkpRStrW1HTQnEsWz9Ix675Klp1wWC3vUcLBM0VDExNxc9Z7KqYG5ae2q2nfe7DxxSgfLFFHUsEwRjYHH4/ECOIQIu/qdOnWKZYou43Jt8C5ZcsYlOCA1bCxTNCxTCwvVuspJygxrsxbytpodJ85sbFhed9bsEETJimWKaOzqAbgG3nju3Llmv9/fZkIeikOZWWu9ixY3XfHvhIjG0czi4tB9sycqU2STFvJ1mB0nTqwwOwBRMmOZIhq7owBUALaBd7S0tHB0ipCds8Z77bUtLFKjIARHpmgU5k6ZHLx3Rr4yIXRWV5VUPvi3D8BrZocgSmYsU0Rj5PF4/AB2ACgceN/x48dZplJcXt7b3oUL21mkRklwYwEaJWGxCCwqnxq4qzwzkKM06mrQa3YmE7zasLyOBx4TRRHLFNH42IIIu/q1t7d39/f3c656isoveNM3b34Xi9QYcM0UjZWwWS3y+hllgTumOIIZvlQ7+HeF2QGIkh3LFNH4+BiAHxEK1fnz53m2R4qRUseEia/75s7tzTA7S8LjXh00ToTTbtdvmlWu3FIkg/aUOPj3JIDNZocgSnYsU0TjIHyA74cAJgy878iRIwc1TQvFPhWZQUpdFpe87qus7GeRGgec5kfjTbjS0vTbKsqUmoJASPQ1JvHBv79vWF7HLyCiKGOZIho/OxFhEwq/3x/o6Og4ZEIeijEpNTlp8ipl9mwfi9Q4EULn2BRFhch1ubQ7K8uUxdl9IZl0B/9K8GwpophgmSIaPw0AOgFc8Ub6xIkTu2OehmJKSlWfMnWVMnOmkm52lmQiwEVTFF1iQk6OdnflVGV+eoeqJc3Bv/UNy+sazQ5BlApYpojGicfj0QFsRIRd/RobG5t8Pl9L7FNRLEgZ0kvLVgamTw+wSI0zISVHpigmxOSCAvXeyknKLFuLpvYn+vfrFWYHIEoVLFNE42sXjCXzV7wBPHfu3K7Yx6FokzKgTZu2MlheHmKRigKeM0UxN72oKFRXUaSU4nyCHvzbB2Cl2SGIUgXLFNE48ng8zTAO8c0feN+hQ4cOaJqWSlvyJj0pFXX6jFWhqaVqmtlZkhW3RifTzJk8KXjvjIJAkXpWDyk9ZscZgWcbltel4plaRKZgmSIaf+sAZA68MRAIBFtbW/ebkIeiQEq/Omv2KnXKFI1FKoo4x4/MJCwWyKqyqYG7y7MCeYFGXQ32m53pKjQA/2V2CKJUwjJFNP4OA/ACcA6849ixYztjH4fGnzdUUblKLSnRWaSijCNTFA+EzWqR1dPLAndMSQu4fA1SCylmZxrESm48QRRbLFMUVUIIt9kZAEAIMUkIMeQcciFErhDiybG+lsfjCQL4AMDEgfc1Nze39/b2nh7ra5CZ+oKVc17Xi4oki1RMsExR/BBOu03eOKtcWVYigo7+BqnH3RmC/8/sAESphmWKokpKWWt2BiGETUp5Xkr5xatcmgtgzGUqzA3j6+uKWUqnTp3aPk6vQTEmZU9wzjVvyAkT5BWjjhQdAtzNj+KPSHc69WUV5coNhaGQpa9R6rpmdiYAHzUsr+PsB6IYY5miqBJC9AshMoUQ64UQe4QQB4UQ94fv+/dLR4KEEP8khPjrIa53CSHeEULsF0IcEkJ8KXz7UiGEO3z7DiFElhDicSHEq0KItwCsFUKUCyEOha9/XAjxphDiPSGERwjxvXCE5QBmCCH2CSF+NJbP2+PxtALYjwjbpB89etTj9/vbxvL8ZIauwPz5q1FYeOX0TYoeC3fzozgmsjMytM9UlgWqc7zhg3/N/Af7YxNfmyhl2cwOQClBAfCAlLJXCFEIYJsQYjWAlwD8FMD/hK97CMDdQ1x/N4DzUso6ABBC5AghHABeBvAlKeVOIUQ2AH/4+WoALJBSdgohygdkqgYwD4APwE4hxDsAvg1gnpSyapw+73UAFka6o6GhwT1nzpz7x+l1KOo6AvMXvCNyc4XD7CSpRpj63pRomAqys7W7s7PV850d9n2tis2aNTnGCU4AWB3j1yQicGSKYkMA+KEQ4gCMtUSTARRJKfcCmBhez7QQQJeU8sxg1wM4COCO8IjWTVLKHgAVAC5IKXcCgJSyV0qphl93nZSyc5BM66SUHVJKP4DXANwYhc/7GIAOAK6Bdxw8ePBAMBjsjcJr0rhrDSysesfCImUOAd3sCETDJiblF6j3Vk5WZttbNbW/OYYv/ZOG5XX8YiEyAcsUxcKjACYAWBwe9WkBcHHx/koAXwTwJRgjVYNeL6X8GMBiGKXq34QQ34VRvAb71fVQ52wMfMy4//rb4/FoAN4FUDDwPk3T9LNnz24d79ek8XZBuXbRe5bsbGE3O0mqElwxRYlo2sSJobqKYqVMnNdC3vYov1ongBVRfg0iGgTLFMVCDoBWKWVICLEMQNkl970E4GEYhWrlUNcLISYB8Ekp/wDgPwEsgjH6M0kIsTR8TZYQYjjTVz8jhMgXQqQD+ByALTBOjc8a4+c60HYAQQBXjGrs379/t6qq/isfQvFAiHP+RYvX2TIzWaTMxK3RKaFVTpoUvHdmYaBEO6eH/F1RepWnGpbX+aL03ER0FSxTFG0SwPMAlgghdsEYdTr2yZ1SHoZRYJqklBfCNw92/XwAO4QQ+wB8B8APpJRBGKNaPxdC7IexTmk4W1ZvBvAcgH0AVkkpd0kpOwBsCW9uMaYNKC7yeDxeAO/DmKZ4mUAgEDp//jx3XopDQjT6Fy/ZYHe5hlXMKZq4ZooSnLBYIBeUTgncMy03kB84o6uBvnF8+gCAX4zj8xHRCAlzN56hZCaEKACwR0pZdtWLY0gI8TiAJVLKb8bi9SoqKvIA/AjABRin038iMzMzo66u7v9YLBaOfsQJIU77liz9yJGWxiIVD17tuv3cG/lPTjE7B9F4kUFVtexsOOfosRUJqz19jE+3omF53Z+MSzAiGhWOTFFUhKfkbYUxHS+leTyeLgD1AIoH3tff3+9raWnZG/tUFInFcsK3tPojJ4sUEUWLcNhs8oaZ5cqyEmswzdsgdTU4yqeS4CG9RKZjmaKoCB+SO1tK+XOzswwkpVwRq1GpS6yDcRTBFV9zBw8edEspuQuTySyWY76l1W6n0ymsZmehT3HNFCUrke506LfMLldunKgGrf2jOfh3VcPyukNRCUdEw8YyRRQDHo+nGcAOABMH3tfR0dHT1ta2L/ap6CKr9bC3+rodaQ4Hi1S8YZmiZCey0jP0OyrKAtflekPoOzPMg391AN+NdjYiujqWKaLYWQNjc4wrNnves2dPva7r6pUPoWiz2Q54q6/bnW63C34/jEMsU5Qy8rOytbsqS5UqV7eq9527ytUvNCyvOxqTXEQ0JL55IIqdRgCHEeHcqa6urt7m5mbu7BdjNvseb/V1+zJsNhapeCUEyxSlFlGcl6feUzlFqXS0qZEP/lUB/FOMYxHRIPgGgihGPB6PBPA2gMxI9+/evXuzpmmjXYhMI2R37PBed92hDKuVx8LGMyGvHMklSgllEyaodRXFyjTLBS3Uf+nBvysaltedNC0XEV2GZYooto4BOA0gf+Ad/f39vqampq2xj5R6nGlub3X1sQyLhUUq3nGaH6W82SUlofsqCgPTHEelRRwF8M9mRyKiT7FMEcVQeHTqVQDZke7fvXu3W1VVf2xTpZa0tI+8S5accLFIJQZO8yMyyNkT5gQ+M+n9huV1Z83OQkSfYpkiir2jMEaoJgy8Q1GU4JkzZz6KfaTUkJ6xybtk6WmXxcIelSg4MkX0iR4APzA7BBFdjmWKKMbCo1MrAbgQeWe/ncFgsDfmwZKcK3O9d8mSsy7BAamEIiD5P4zI8O/Ny6o6zA5BRJdjmSIyx0kAexHheTj/TAAAIABJREFU3KlQKKSePn36w9hHSl5ZWWu9ixadd5mdg0ZOYFhn7hAluyYAPzU7BBFdiWWKyATh0anXYJw7dcXX4b59+/YqitJ+xQNpxHJy3/VWXdvCIpWgODJFBAD4XvOyKq6nJYpDLFNEJvF4PGcBbAVQPPA+Xdf1Q4cOrYl9quSSl/e2d8GCDhapRMYqRXQEwAqzQxBRZDazAxCluNUArgdgBaBdesfx48dPzZgx41heXl6lKckSXEHBm75r5vaySCU4SxJvQNHzH/+EwLYPYcnNR+FvVgIAuv/576CdbQAA6P19sGRmoeCZly97nNbajJ7l/xd6ZwcgBDLu+wIyvvAIAKDvV/+F4I4tsM2YjZy/N/Yq8K99G7Kv95NrKOH8XfOyKu3qlxGRGTgyRWQij8fTDGADIoxOAcDOnTvf13VdjW2qxCaljgkTX/ddM7c3w+wsNB6St0yl3/VZ5C3/78tuy/3uv6PgmZdR8MzLSLv5djhvuu3KB1qtyPrGX6FwxWvI/+/fw/fmy1AbTkLv70Po8H4UPPsKoOsInToOGVCgvP8W0u9/MEafFY2z1c3Lqt42OwQRDY5lish874b/tA+8o6Ojo/vcuXNbYpwnYUmpy+KS132Vlf0sUknCksRrphwLF8OSnRPxPikllE3rkHbb3VfcZy2YAPvsOQAAS4YLttJp0NrbAIsFMhSClBIyEICw2eB9+XdI//zDELYrvr1QnJNSegH8pdk5iGhoLFNEJvN4PJ0wpvuVRLp/586dm4PBYE9sUyUeXapy0uRV/tmzfSxSSSV5R6aGEjqwB5a8fNimlA15ndZ8HqETHtjnzIMlw4W0m29H59cfhrVkEoQrE6FjR5B2w7IYpabxJIT4fvOyqjNm5yCiobFMEcWHdTAOZMwaeEcwGFSPHTu2NvaREoeUqj516ipl5kyFRSrJpOoPKWXDexFHpS6l+33o/t63kPXkt2BxZQIAXA8/joJnXkbWE3+N/t/+DzL/5An43nkN3d//W/Q/90wsotP4OAjgJ2aHIKKrS9WfU0RxxePxKACeA1AY6f7Dhw8f6e3tPR3bVIlBypBeVr4yMH16MN3sLBQFIvVGpqSmIrB5A9KW3TX4NWoIPd/7FtLuuAdpN99+xf2h48cAALYpZVDWvo3c7/0H1IYTUM81Ri03jQ8ppQTwjeZlVVwvS5QAWKaI4sdeAIcQ4SBfANizZ88aKaUe20jxTcqAVj5tZbCsLMQilaQsMnnXTA0muHs7rFPLYZ1QFPF+KSV6f/R92EqnwfXglyNe0//b/0Hm409AaiqgG982hLBABpSo5abxIYR4tnlZldvsHEQ0PCxTRHEifJDviwDSYWyVfpkLFy60XbhwYXvMg8UpKRV1xsxVodJSNc3sLBRNyTsy1f0v30bnN78K7Wwj2h66C/53XwcAKBvfv2KKn9beiq5vfxMAEDq0D8q6dxDctxMdf/4ldPz5lxDY9tEn1yqbN8JeMRfWwomwZGbBfs0CdPzpg4AQsM+oiN0nSCMmpWwD8Hdm5yCi4RPGaDIRxYuKioqHAXwGwNmB9zkcDvt99933hNPpzIt9svghpV+dNfs1taREZ5FKcpt6r21+JucfIx4dQJSEvtK8rOo5s0MQ0fDx0F6i+PM2gJsAZADwXXpHMBgM7d+/f/XSpUu/KkTKzX4K84YqKl/Xi4pkUhepH/2oFdu3+ZCba8Wzv54KAHj66Q5s2+qDzSYwaZINf/O3E5CZecUgJlau7Maad/sgBDBtmgN/87cT4HBY8MMftuL0qSCuvz4Df/pn+QCAPzzXhWnTHbjhhvg831gk8dboRANsZJEiSjyc5kcUZzweTz+AFwBEXDBx8uTJhtbW1t2xTRUv+oKVc17Xi4qk0+wk0XbXXVn4t3+7fLf8xYvT8eyvp+CZZ6dgyhQ7Xnyh+4rHtbepeOP1XvzPU5Px7K+nQtOBjRu8OHUyAAB45tkpOHhQQX+/jo4OFceOBeK2SAGAAJcJUvKTUgYBPGF2DiIaOZYpovi0DcApDLK7n9vtXhsMBntjG8lcUvYEr5n7hpwwIfmLFAAsWJCOrOzLv0UvWZIBq9UYqJlzTRra2rWIj9U0iUBAGn8qEgWFVlhtAsGADl2XUFUJqxVYsaILX308vmeMcliKUoEQ4t+bl1V5zM5BRCPHMkUUhzwejwZgBQAXIkzHVRQleOjQobdincs8XYH581ejoAApUaSG4701faheeuUmhoUTbHjwwVw88sdn8NCDjXBlWrBkSQbKyhyYONGGJ77RhFtucaGpKQRIYNas+P4rFUm8AQURAEgpTwD4odk5iGh0WKaI4pTH42kE8BaAyYPcf6KtrW1/bFOZoS2wYOFbIi8fDrOTxIvnn++C1QrcfkfmFff19Wlwu734w/OlePmVMih+HR+s6wMAPPm/CvH0r6bgwYdyseK3xqjU88934Z//uQXvvBOfA51CcM0UJS8ppRRCfKN5WRX3rCdKUCxTRPHtHQCtACLOxdq6dev7oVDIG9tIsdSiLKxaY8nJESxSYWvf78O2rT78/T9MRKRNSPbs8aO42I7cXCtsNoEbb3Lh8JHAZdds2eLF7AonFEWi4XQQ3/1uET5Y1w9Fib/1SRyZomQmhPhJ87Kq9WbnIKLRY5kiimMejycA4BkAOYhw9pTX6/UfPXr0nZgHiwVxXrl20fvW7GxhNztKvNixw4eXXurGv/ygGGlpkb99T5xow9GjChRFh5QSe/f4UVr66V+hqkq8/loPHnooB4GA/smiJF0aa6niDXfzo2QlpdwH4O/NzkFEY8MyRRTnPB7PCQDvYZDpfocPHz7a3t5+MLapokuIc/5Fiz6wZWambpH61x+04H//5XmcPRvCw19qxJp3e/GLn7fD79fxd397AX/x9XP46U/aAADt7Sr+4e8vAADmzEnDzTe78MQ3mvDnf3YOUgJ1ddmfPO+bb/bizjuzkJZmwfTpDkACf/ZnZzFvblrEbdbNJpL51F5KWVLqfiHEHzcvqwqanYWIxoaH9hIlgIqKinQA/wJjdKpn4P3p6enOe+655xtOpzM35uHGmRCN/sVL6u3p6YLn4BG2981p+1n2DyaYnYNonP1F87KqX5kdgojGjiNTRAnA4/H4ATwLIB8Rvm79fn9g9+7dK6WU8bfoZQSE5ZRvyVIWKfqUhQNTlGSkqr7NIkWUPFimiBKEx+M5BmA9Bpnu19jY2NTY2LgppqHGkcXysW/p0s3OtDQWKboEd/OjJCI1rUXYbI+bnYOIxg/LFFFiWQWgF0B2pDu3bdu2ube3tyGmicaB1XrUt7R6m9PpFPG3aIdMxSZFyUJKqQur9ZHmZVUdZmchovHDMkWUQDwejxfArwAUIMJhvlJKuWXLltdUVfXHPNwoWa0HfdXX7UxzOFik6ErcGp2Shq7/uHlZ1QazYxDR+GKZIkowHo/nKIDVAKZEur+7u7vv0KFDb8Y21ejY7Pu81dftTbPZBL8XUURCJPQyQCIAgFTV/cJq/QezcxDR+OMbGKLEtBrAKQBFke48evSop7m5eWdsI42M3b7bW119IINFioYiJNdMUWKTuu4XNtuDzcuqQmZnIaLxxzcxRAnI4/GEADwNY6v09EjXbN68ea3f72+JabBhcjh2eKuvO5xhtQq+UaYh8R8IJTwhvtm8rOq42TGIKDpYpogSlMfjaQHwawAliPCeMxQKqVu2bHlFVVUl5uGG4HS6vUurj2VYLCxSdHUWcGSKEpdU1ddabrv2N2bnIKLoYZkiSmw7AHyIQdZPtbW1dR44cGCVjJPTudPSP+pfsvSEi0WKhk3Ex79dopGSoeAxYbN9xewcRBRdLFNECczj8UgALwDogHGgb6RrTjQ2Nm6MabAIMjI2eZcsOZ1psbBH0fAJjkxRApJqqFfYHXc3L6vymp2FiKKLZYoowXk8Hh+ApwBkAXBEumbr1q0fdXZ2Ho1psEu4Mj/wLl5y1iU4IEUjxH8xlGikrmtQ1T9qXlbVaHYWIoo+limiJODxeE4DeBHGdL+I7z83bdr0ht/vb4tpMABZ2e97Fy264Ir161JyEIIjU5RY9O6uv2m5p6be7BxEFBssU0TJ4wMAWwBMjXRnIBAIbtmy5aVYbkiRk/uut6qqlUWKRo2H9lIi0drbXmn7wu0/MTsHEcUOyxRRkvB4PDqA3wNoAjAx0jXhDSlei8WGFHl5b3kXLOhgkaIx4ZopShR6T9cB2dfziNk5iCi2WKaIkojH4/ED+DmMqX6Zg1xzPJobUkipo6DwTd+8+d0sUjRmFnBoiuKf7vO2SVW9rf1rX9TMzkJEscUyRZRkPB5PK4xCVQjAHumarVu3ftTe3n5wvF9bSh0Ti970XXNNb8Z4PzelKo5MUXyToVBA7+66s+2Ln+kwOwsRxR7LFFES8ng8R2BsSDEVg2xIsXHjxjd7e3sbxus1pdRlcclrvsrKfhYpGjdcM0XxTOq61Nqa/6T90fv2mZ2FiMzBMkWUvNYBcGOQDSlUVdU2bNjwkt/vbx3rC+lSlZMmr/LPnu1nkaJxZeFufhTH9LaW/2h/9LMvmp2DiMzDMkWUpMIbUvwOQ2xI4ff7A/X19c8Hg8G+0b6OlKpeOnWVMnOmwiJFRClD62h/v+3he75tdg4iMhfLFFESu2RDCgDIjnRNV1dX77Zt257XNC0w0ueXMqSXla8MTJseTB9LTqLBWKBzZIrijt7ddVhYLPebnYOIzMcyRZTkwhtS/ARALoCIpaepqallz549L+u6rg/3eaUMaNOmrwyWlYVYpCh6OM2P4oze3dmoXWi6ofXzt434F1BElHxYpohSgMfjOQ7gvwEUY5Ad/k6cOHH62LFjbw7n+aRU1BkzV4amTlXTxjEm0RWsiP6ZaETDpXd3tQb377m548nHeszOQkTxgWWKKEV4PJ7dAP4AY0MKa6Rr9u/ff6ChoWHDUM8jpV+dNXuVOnmyziJFMcCRKYoPem9PT2Br/V3d//StM2ZnIaL4wTJFlFo+APAugFIMsmX61q1bP7pw4cL2SPdJ6Q1VVK7SSkpYpCg2LIIDU2Q+3dvvVdaveajnP/6JW6AT0WVYpohSiMfjkQBeBbANRqGKaNOmTe+1trbuufzWvuCca17Xi4qkM6ohiS4lI5d+oljR/T6/svatv+j92fK1ZmchovjDMkWUYjwejwbgNwA+BjBpsOs2bNjwdnt7+0Hjv3oC18x9Q06YwCJFscVDe8lMMqAElXXv/HVw17YXzM5CRPGJZYooBXk8ngCAXwDoxCBnUEkp5fr1H7zR3nGsad781aKgACxSFHMWrpkik8hQMKRseO//Brdv/qXirmerJ6KIWKaIUpTH4+kD8GMAKoD8K6+QsNn7anbteq9VUUJnYxyPyMA1U2QCqaqasmnt8sDmjT9ikSKiobBMEaWw8BlUPwJgg3EOVZiEM63/JqfTmweE1j77bOeLLS2hEybFpBRmGWSjFKJokbqmBz5a//PApnXfZ5EioqthmSJKcR6P5yyMQpUBIBuQIi2t/xanw5dts4XWCgElEJDaM890vtzaqp40OS6lHL6XpdiRUpcBd/1vlQ/e/RvFXa+ZnYeI4h/LFBHB4/GcBvAjQOakpfXd7nD4MqxGkQpevEZRpPqrX3W81NamnjIxKqUYwWl+FCNS1/TA5o3PK2vefFJx16tm5yGixMAyRUQAAI/Hc9xmDzzlcPpCVlvILQRCA69RFKk+/XTHi83NoY/NyEipx8KRKYoBqaqq8v7bv1feW/11xV0fvPojiIgMLFNE9InDhxp32WzqXwqBXBjT/q6gKFL95S87Xj5zJnggxvEoNXHNFEWVDAaD/jdf/l1g84ZvKu56v9l5iCixsEwR0WW2ur2HAPwEwAQMUqhUFfozz3S+fuJEYEdMw1HK4cgURZNU/D7vS7/9fXDPjr9W3PVes/MQUeJhmSKiK2x1ew8A+C8YZ1BFLFRSAitWdK05dEj5MKbhKKUIwXOmKDr0/r6+/hW/fEH1HPm24q7vMTsPESUmlikiimir27sPwM9gFCrXYNe99FL3xl27fO9LyREEigb+u6Lxp3d3dfX/5r9XaGcbvq246zvMzkNEiYtliogGtdXt3QPgP2Ec6ps92HVvvNG7bcsW35u6zkZF48sCjkzR+NLaW1v7n/nZU3rLhX9kkSKisWKZIqIhhddQLYcxOpU32HXvvde3b8OG/lc1TfJsFho33BqdxpN6/uz5/l/97L/07s5/Vdz1vWbnIaLExzJFRFe11e09DuBfYXzPKBzsuk2bvEffeaf3+VBIBmIWjpIdR6ZoXKinTzT0P/vz5dLb95+Ku95ndh4iSg4sU0Q0LFvd3jMwClUAxjqqiHbs8J9+4YWuX/t8enfMwlHS4m5+NB5Cxw593P+b//k+AoGneI4UEY0nlikiGratbm8zgB8C6AFQMth1x48H255+uuOZzk71TMzCUZLimikaPSklAjvc+7zPPfOP0LXfK+561exMRJRcWKaIaES2ur0dMNZQnQcwZbDrOjo03y9+0fH7xsbg/piFo6Rj4ZopGiWphoL+1a9u9L/58ncArFTc9brZmYgo+QhuZ0xEo1FT63IB+CaASgBnMMQe1l/8Ys6NCxem3S4EBxloZHyaQ/1z24s2s3NQYtH7+7q8L/y6Xms8/RPFXc+z8IgoajgyRUSjstXt9QL4KYCdAMoBWAe7duXKns3r1/e/omkyFKN4lDT4Cz8aGe1C0+m+n//HGq3x9A9YpIgo2jgyRURjUlPrsgK4H8DnYEz9Uwa7du5cZ8kDD+T8cVqaJStW+SixKZpN+1Pby4MWdaJLBQ/u3eV7+Xf7IOVPFHf9EbPzEFHyY5kiojGrqXUJANcD+DqALgCDnt9SUmLLeuyxvD/OybEOuoEF0UUB3aZ9zcoyRUOTmhpS1r37UeCj9QcA/FRx1zeanYmIUgPLFBGNm5pa1ywA/wfG2UCtg13ndArrI4/k3j1jhnNJzMJRQgroVv1r1lc4JZ0Gpft9Pb4XV3yonvRsAfBLxV3fY3YmIkodLFNENK5qal0TYRSqiQDODXXtHXdkzr/xRtdnbTZhj0k4Sjgh3aI/bn2VZYoi0tpazvT/9qltsqdrNYBXFHc912USUUyxTBHRuAvv9Pd1AFUAGgEMuiXxzJmOwi98IeehrCzrhFjlo8Sh6hb5Veur3AaSrhDyHN7nff7X+6BpvwGwWXHX8w0NEcUcyxQRRUVNrcsG4CEAd8MYoQoOdm16urB/+ct595WWOhbEKh8lBk0KfMWy0uwYFEekpqmB+g82K+vfPQjgZ4q7/oTZmYgodbFMEVHUhDemuAXAVwD0wdicYlD33pu16LrrMu6xWgXPFaJPPCpWmR2B4oTe093sffl3W7XGU3sB/Lfiru80OxMRpTaWKSKKuppa1zQYB/xmA2ga6trKSmfRAw/kPORyWfJjEo7iHssUSSll6MiBbb5Xfn8SqroRwPOKuz5gdi4iIpYpIoqJmlpXFoCvAVgM4CyAQReKZ2VZnI88knvf1KmOebHKR/HrEayEEFw2lap0v6/H//aq90L7dikAngOwgeujiChesEwRUczU1LosAO4C8DCATgBDbmF8222Zc2+80VXncIj0WOSj+PQIVkrBNpWS1DOnD3j/8OxO6e0PwlgfdczsTEREl2KZIqKYq6l1zYYx7S8NwPmhrp040Zb50EM5ny0uts+OSTiKO4/IV6WwWFimUogMBRWl/oN3Axvf7wNwCsb5UYOeXUdEZBaWKSIyRU2tKxfAnwOYB2PanzrU9ffck3Xtdddl3G2zCUcs8lH8eES+qguLhWdNpQitreW098XfrtdbLtgAvAHgXZ4fRUTximWKiExTU+uyArgPwOcBdADoHer6KVPsOV/8Ys7nCgtt5TGIR3GCZSo1SE3Tgnt2rPe/8dI5GDt//pLbnhNRvGOZIiLT1dS65gD4CwBZMM6kGvQbkxDAH/1R9nWLFqXfwS3UU8Mj8hVNWKxWs3NQ9Oi9PS2+115Yox4/ZgWwEcDLirveZ3YuIqKrYZkiorhQU+vKhLExxc0AWgB4h7p+xgxH4ec+l/O5vDzr5FjkI/M8or+iCSvLVDKSuq6Hjh1y+155zoNQMAjgGQD7uFsfESUKlikiihvhQ34XwlhLZQdwAUOMUlksEPfem7V48eKM2+12kRajmBRjj+ivqMJq5ShkktE628/433x1rXrimAPAfgC/Vdz1Qx7sTUQUb1imiCjuhDeneAxANYxC5R/q+gkTrK4HHsi5s7TUsSAW+Si2HtFfVoXVxjKVJGQw6A/s2LJOWfPGWQDpAP4AoF5x1+smRyMiGjGWKSKKS+FRqusBPB6+6cLVHrNkSXr5HXdk1mVmWgujmY1i6xH95ZCw2uxm56CxUxtP7fetfH693tmeD+AMgF8p7voms3MREY0WyxQRxbWaWlchjEI1H8aZVIGhrrfbYbn//pza+fPTbrZaBd+AJ4FHtJdDwsYylcj0vt5WZf2aNcGd7l4A2QDeAvCW4q4PmhyNiGhMWKaIKO7V1LosMDameCR805BrqQBg6lR77v33Z9/Dw34T36PaS0HY7DxfLAHJUEgJ7t25yf/2qn3Q1GIYvxD5Lbc8J6JkwTJFRAmjptZVAOAhGNP/OgH0XO0xN9/sqrjxRtddGRmWvGjno+hgmUo8UkqpNZzc63vjpQ16e1sWABuAVwFs4AG8RJRMWKaIKKGE11JdA2PqXyGM33QP+ebMbofl3nuzly5cmHazw2HJiH5KGk+Pai8FYLM7zc5Bw6N3dTb533vz3dChfb0AJgLYA+AFxV3fanI0IqJxxzJFRAmpptblBHAngM/BKFPNV3tMVpbF+dnPZt9YUeG8ngf+Jo5H1RcDsDtYpuKc7u3vDO7YslFZv+YYpCwB0A/gdwD28twoIkpWLFNElNBqal3FMLZRnw+gDcYbuCGVlNiy6uqyl5WW2qssFiGinZHGhmUqvul+X09w9/Z6Ze1b+6BpEwE4AawB8K7irh/y8G0iokTHMkVECS889W8RgK8CcMHYoEK92uNmzXJMuOuurM8UF9tnRTkijcGj6osK7A4eyhxnpOLvC+7b9ZH//dV7EAxmwJh2exDAi9zunIhSBcsUESWNmlqXC8A94Q8NxtS/qx4EumRJetmtt2bemZtrnRTliDQKj6ovKLA7WabihAwGfMGDezcra97YKf1+AWASgC4Avwewn1P6iCiVsEwRUdKpqXVNgLGW6gYAfgAtw3ncDTdkzLr++oyb8/JsU6KZj0bmUfUFP+zOdLNzpDoZCimhIwfc/nde2y69/RqAYgACwBsAPlDc9Yq5CYmIYo9lioiSVk2tqwzGVupzYWyj3jWcx1VXp0+rrXXdVFhomxbNfDQ8j4Ze8MPBMmUWqYaCIc+Rbf53Xt8qe7qCMEqUDcBGAGsUd327uQmJiMzDMkVESS28nmoOjAN/pwBoxzA2qQCAhQvTptx0k+tmrqky16Oh531wpHFL+xiTmqaqx4/t8L/7+ha9o00BUATAAWAzgLcVd/2wRnyJiJIZyxQRpYSaWpcVwBIADwPIhbGeKjCcx86Z4yy+9dbMmyZNss0Rgrv/xRrLVGzJgNIf8hzZpWxYs0tva/XBOCsqDcAOAG8q7vrz5iYkIoofLFNElFLC51PdBOALMN4gtgAY1lqPGTMchbfdlnnj1Kn2+RaLsEQxJl2CZSo29O6u88H9u7Yrm9YeRjCoA5gAIAPAXgCvK+76M+YmJCKKPyxTRJSSampdGTA2qLgfxnbqbQB8w3lsUZEtc9myzKWzZjkWO50WVxRjEoBHg3/wwpnOv+cokLqua+fPHg1s+2h7aO/Os+GbCwFkATgEYBWA09yhj4goMpYpIkppNbWuNADXAfg8gGwAHRjmmiqnU1hvvdU1b8GC9OtycqwlUYyZ0limxp8MBv2hE8d2Bza+v1M7f643fHM+gBwAHwN4FcBxligioqGxTBERAaipdTlgrKn6PIACAN0wdgAclqqqtCnV1RlLJ0+2z7VahTVKMVPSY8Hn+qUzI9PsHMlA7+ttDR7Ysz2w8b0D0u9XAVhgTOdLB3AaRok6yhJFRDQ8LFNERJeoqXXZAFTBWFNVghFsqQ4ABQXWjFtuyayqrHQuyciw5EUpZkphmRobKaXUm89/HNixZXtwx5bT4ZsdMHbnEwB2A1gHjkQREY0YyxQRUQTh3f/mwTj8txzGzn+tAPThPF4IYOnS9GkLF6YvnDzZPsdmE46ohU1yjwV+3yfTXFlm50g0em9Pi3rCczCw7cODWtPZi1P5smBM5wvAKFAfKu76NtNCXoUQ4isAvgVAAjgAQIOxYcxcGGXwr6SUbwshHgfwAAAngGkAXpBSft+U0ESUUlimiIiGED6nahqAO2CsrRIwStWwdgAEgPR0Yb/hBlflNdekLSgstM6wWLi9+kiwTA2f7vf1aKdPHgzsch9UPUdawzcLGJtKuGDsXvkWgN2Ku95vVs7hEELMBfAagBuklO1CiHwAP4ZxaPC9AGbAODh4JowjD/4Nxi9AfAB2AnhcSrnLjOxElDpYpoiIhqmm1pUPoBbA3QAyAfQC6BzJc0ycaMusrc2YN2uWcwE3rRiexwK/65Vpmdlm54hXMhj0q+caj4T27TwQ3LPjDD79uW6HcUaUHcaoznsAjinu+mGNrppNCPGXAIqllN+55LYVAD6UUv4m/N8fAvjfMKbm3ial/Er49n8G0Cml/GnMgxNRSrGZHYCIKFFsdXs7AbxdU+taC2A+gHtg/HZchTFaFbrac7S2qv1vvNG7DcC2WbMcE6qrMxaUlzsWpKdbWBZo2KSmqdqFJk/o8L6Dga0fHkcodGlBcsHYREUDsAHAJsVdf8GUoGMjYEzvG2jgbfIqtxMRRQ1HpoiIRik8BXAyjEOAl8EYAeiHMVo17G+uQgDz5qUEq1FBAAAJ3klEQVRNnjcvraK01F6RlWWdGJXACeoxZUWvTM9K+bIpdV3q7W2nQ8cOHQhs2XRU9vcGL7nbAWMqnw3GTpTvANiuuOuHtc1/PApP83sdQI2UsuOSaX4TAdwHY/ptPT6d5vdDGNP8/AC2A/gap/kRUbSxTBERjYOaWlc6jDdytwKYE765C0DfSJ+rtNSet2hRekV5uaMiP99aluprrL6srOjR07NyzM5hBhlQvFrLhZPqqeMngnt2nNQ72i49WNoKo0A5YWwosRlGiTiVKFP5rkYI8VUAfwNjlG1v+OYuGMcYDNyA4l4Yo3IzwQ0oiChGWKaIiMZZeG3VtQBug7G9ug6gHSPYtOKivDxr+pIl6bNmznRWFBXZZqbiroCpVKakrut6V+c57WzDidCRAydCRw5cwOU/pwWM3fgyYRSMXQC2APAo7vrglc+YXMJrpt6WUq4ccPvjAJZIKb9pRi4iSl1cM0VENM7Ca6vW19S6NgCYAmApjBGriTDWVbXBWGd1VV1dmn/duv4D69b1H3A6hfXaa9PLZsxwTCsutk/LybGUWCzCEqVPI44k9y/9dL+vR7/QdDJ08uMTwd3bT8m+nkCEy3LCHwBwFMAmAEcUd703VjmJiOhKHJkiIoqB8LlVswDUhD+sMEYWOmBM0RqxzEyLY8GCtNLp0x3Tiovt5dnZlpJknBL4Zf9vu/WM7Fyzc4wXqWma3tHeqJ45fSJ0aO8J9fixwc55yoCxkYQFwBkY24DvV9z1wz5EmoiIootliogoxmpqXQ4YuwBWwShWmTCGX7pgbGAxKtnZFueCBWll06Y5y4uLbeXZ2ZZiIRK/XH3Z/5tuPSMnYcuU7vN26Z3t57XmC01a46mm0NED56XfH2lk0gIgF8a/B8DYyGQjgD0AmhV3PX9gExHFGZYpIiIT1dS6LACmwti8ohbGGivA2LiiG2OY45aZaXFUVDhLpk61lxQV2Sbl5VlLXC5LQaIVrC/7f9OlZ+TkmZ1jOGQw4NM7O5q0tpYm7WxDU+jooSa9s32ow3EzAOTBKFISxhS+nQCOgwWKiCjusUwREcWJ8FbrhQAqYYxYVYTv0mEUqzGvj3G5LI6KCmdxaal9UqIUrK/4f92lZeTGXZmSqhrSe7rO622tTVrTmfOh48eatLMN3Vd5mBVGecoI/3c7gB0ADgM4rbjrR7xJCRERmYdliogoTtXUujJhnKUzB8bugEUwRi90GFMCfYM/evhcLotj1izHxKIiW0FBga0gJ8dakJVlKXC5LPlWq7CPx2uMhZllSuq6lIrSI719nXpvT6fe3dmpt7d1ahfOdaqnjrdD04bzQzQTxvQ9C4yNRw7C2IXvBIB2jj4RESUulikiogRRU+vKAVAOY+TqWhi7AwLGG/RujFO5ukgIoKTElj1lir1g4kRbQX6+rSA721KQmWnJczotmXa7SBvP1xvMV3zPdmmuvKiVKanruvT7umV/X6fe19Opd3V26u2tndqFpk71bEM3gkFtBE9nB5AN47wjCWMr8wswzn86CqBBcdeHxv2TICIiU7BMERElqJpaVy6McnVx5KoQn76B98NYdxW1aWNpacI2caItMz/fmpWba83MyrJmZmZaslwuS2Z6ushKT7dkOhwi02YTDqsV9tFOJfyK79lOzZWXP9zrpa7rCAX9MhTyy2DAh0DALwOK8eH3+6Xf59N9Xr/s7/NrLRe6taYzPVDV0Rxya4Ux6pQF4+/84t/7xwCOADgL4Lziru8dxXMTEVECYJkioqTAQzs/mRZYAmAyjNGrmTAOeNVhTDHzw9gtcKgNEaImPV3YXS6LIyPD+EhLE/a0NIvD6RQOp1M4HA7hONObPd+e4Tyb5hC9EBACwIvaw6rXkm2BrutS13Roug5d16FrutQ0Xfp9Adnf59d7un16d5df9vdG4/BaAWO0KRvGGY0Sxtb2p2Gsd2oA0ASgk9P2iIhSB8sUESWFsZYpIYRVSjmS6VwJYUDBmh3+KIBRBC6OFCkwpgj6YRQv05xBWV03cvdqsJ83KYITQHr4wwHj7+PiaF8TjBGnEwDOA2hR3PVJ92+GiIiGz2Z2ACKiSwkhvgLgWzDewB6QUn45wjUPAvgejELQI6W8OXzXJCHEezDOcHpdSvm34eufArAUxhvklVLK74VvbwDwGwB3AviFEOIbAPYBqIYxAvE1KeWOaH2usbDV7e2Hsc32cQCbAKCm1uWCMSWwAMa6qzIAU2CUrotbdFtgFAkfjEOFgwCSYa2PwOWFyY5PC6QA0AOjKJ0Lf3SGPzoUd/2oDlcmIqLkxTJFRHFDCDEXwHcA3CClbBdCDLZO5rsA7pJSNgkhLj3MtQrG2qEAAI8Q4udSyrMAviOl7BRCWAGsF0IskFIeCD9GkVLeGH79bwBwSSlrhRA3wyha88b/MzXXVrfXC2Ob9cZLbw+feZUDo2QVwChXpQAmwNjO24VPR2oAo3AJGEXr4kcIRsnVMKpRrhFPl7DAKER2GD/TLv1TDMh7cV1TJ4zP/RzCU/Ng7I7YqbjrozFFkIiIkhTLFBHFk9tgjBy1A4CUsnOQ67YAWCGEeAXAa5fcvl5K2QMAQogjMEZczgJ4SAjxdRjf80oAXAPgYpl6ecBzvxh+7Q+FENlCiFwp5dXODkoKW93ei1uud8GYynaZmlqXDcaGCxc3XciEMYJ3cZSrIHx7OoA0GNPkAKPMXPy4SODT6XOX3CgtEqIQxuYOwOCHFgsYRSoEYx1YX/ijF8boUjc+XR928cMLoJu76RER0XhhmSKieHLxDfaQpJTfEEJcB6AOwD4hRFX4rkunYWkAbEKIaTCmDS6VUnYJIVbAeKN/0cCDcAe+PheWhm11ey9uwT6schke6bLDKFWRPi7+DLo4YgQXvNntmNgDY0Qp0ocGoxj5APhZjIiIyEwsU0QUT9YDeF0I8RMpZYcQIj/S6JQQYoaUcjuA7UKIzwKYOsRzZsMoTD1CiCIA9yC8dmgQXwKwUQhxI4z1WD2j/WRSXXikK4DLSy4REVHSYJkiorghpTwshPhXAPVCCA3AXgCPR7j0R0KIWTBGM9YD2A9jvVSk59wvhNgLY/vqUzCmCA6lSwjhRngDilF9IkRERJQSuDU6EVGYEGITgG9JKXeZnYWIiIjin8XsAERERERERImII1NEFLeEEN8B8OCAm1+VUv6rGXmIiIiILsUyRURERERENAqc5kdERERERDQKLFNERERERESjwDJFREREREQ0Cv+//ToWAAAAABjkbz2H3WWRTAEAAAwyBQAAMMgUAADAIFMAAACDTAEAAAwyBQAAMMgUAADAIFMAAACDTAEAAAwyBQAAMMgUAADAIFMAAACDTAEAAAwyBQAAMMgUAADAEErTNMcZaMPEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_pl=data_pl.sort_values(by='percentage')\n",
    "\n",
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "labels = data_pl['pl_']\n",
    "sizes = data_pl['percentage']\n",
    "#explode = (0, 0.1, 0, 0)  # only \"explode\" the 2nd slice (i.e. 'Hogs')\n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(15, 9))\n",
    "ax1.pie(sizes, labels=labels, autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.title(f\"Programming Languages in China, {year}{month:02}\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word Cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "wc=WordCloud()\n",
    "wc_dict = {}\n",
    "for index, row in data_pl.iterrows():\n",
    "    wc_dict[row['pl_']]=row['percentage']\n",
    "\n",
    "\n",
    "wc=wc.generate_from_frequencies(wc_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "wc_dict['c/c++']=0.33\n",
    "wc=wc.generate_from_frequencies(wc_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.imshow(wc, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020年2月\n"
     ]
    }
   ],
   "source": [
    "print(f'{year}年{month}月')"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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